Sujit K Ghosh

Also known as: Sujit Kumar Ghosh; Sujit K Ghosh

Bayesian inference, biostatistics, spatial models, time series

Professor Sujit Kumar Ghosh earned a Ph.D. in Statistics from the University of Connecticut in 1996 and is currently a tenured Professor in the Department of Statistics at North Carolina State University (NCSU) in Raleigh, NC, USA. He has over 25 years of experience in conducting, applying, evaluating and documenting statistical analysis of biomedical and environmental data. Prof. Ghosh is actively involved in teaching, supervising and mentoring graduate students at the doctoral and master levels. He has supervised over 45 doctoral graduate students and 5 post-doctoral fellows and he has served as a member on numerous other doctoral and master level committees. He was awarded D.D. Mason Faculty award in 2023 and Cavell Brownie Mentoring Award in 2014 by the Statistics department at NCSU. He has also served as a statistical investigator and consultant for over 45 different research projects funded by various leading private industries and federal agencies (e.g., BAYER, CDC, GSK, MERCK, NIH, NISS, NSF, SAS, U.S.EPA, USDA-NASS). Prof. Ghosh has published over 130 refereed journal articles in the various areas of statistics with applications in biomedical and environmental sciences, econometrics and engineering. He has co-authored a popular textbook titled "Bayesian Statistical Methods ” in 2019. Prof. Ghosh has been regularly invited by peer institutions and conference organizers to present talks. He has given over 185 invited lectures, seminars at national and international meetings. He has also delivered several short courses and served as a short term visiting professor at leading institutions in various countries (Greece, India, Italy, Singapore, Thailand, Turkey). In recent years, Prof. Ghosh has contributed significantly in developing statistical models and associated methodologies for various inferential problems that are subject to shape constraint. In 2016, Prof. Ghosh was invited to present the prestigious Helen Barton Lecture Series in Mathematical Sciences at the University of North Carolina at Greensboro where he delivered a series of three lectures on Statistical Inference Subject to Shape Constraint. Prof. Ghosh received the International Indian Statistical Association (IISA) Young Investigator Award in 2008; was elected a Fellow of the American Statistical Association (ASA) in 2009 and was elected as the President of the NC Chapter of ASA in 2013 and also the President of the IISA in 2017. He was the recipient of the Thammasat University Honorary Plaque in 2013 and also received the prestigious Honorary Doctorate in Statistics at Thammasat University (Thailand) in 2015 and in 2016 he was selected for the Hind-Rattan Award by the NRI Welfare Society of India. He served as the Co-Director of Graduate Programs in Statistics at NCSU managing over 150 students annually during 2010-2013, the Project Director of a training program for undergraduates funded by the NSF during 2007-2013. He also served as lead PI of an NIH funded Summer Institute in Biostatistics (SIBS) during 2019-2023. He served as the Program Director in the Division of Mathematical Sciences (DMS) within the Directorate of Mathematical and Physical Sciences (MPS) at NSF in 2013-2014. He has also served as the Deputy Director at the Statistical and Applied Mathematical Sciences Institute (SAMSI) in 2014-2017 and interim Department Head of Statistics at NCSU during 2022-2023.

Works (383)

Updated: June 8th, 2024 05:44

2024 journal article

Active Learning for Stacking and AdaBoost-Related Models

STATS, 7(1), 110–137.

By: Q. Sui n & S. Ghosh n

author keywords: machine learning; ensemble learning; classification; AdaBoost
TL;DR: The findings demonstrate that AL can enable the stacking model to achieve comparable accuracy to the SVM model using the full dataset, with only a small fraction of carefully selected instances, illustrating the strength of active learning. (via Semantic Scholar)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: January 28, 2024

2024 article

Assessing Child Health in India: Development and Validation of a Comprehensive Child Health Index

Sehgal, M., Jatrana, S., Johnson, L., & Ghosh, S. K. (2024, February 29). CHILD INDICATORS RESEARCH, Vol. 2.

author keywords: Child health; Health indicators; Index; Health determinants; India
TL;DR: This study provides a new tool for characterising child health and detecting child health inequalities at a district level in India and can be used by policymakers, health service providers and other stakeholders involved in child welfare to monitor and improve child health over time and space. (via Semantic Scholar)
UN Sustainable Development Goal Categories
1. No Poverty (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: March 18, 2024

2024 article

Degree selection methods for curve estimation via Bernstein polynomials

Silva, J. F., Ghosh, S. K., & Mayrink, V. D. (2024, March 2). COMPUTATIONAL STATISTICS, Vol. 3.

By: J. Silva*, S. Ghosh n & V. Mayrink*

author keywords: Bayesian inference; Bernstein basis; Degree elevation; MCMC; Model selection; Optimal degree
Sources: Web Of Science, NC State University Libraries
Added: March 18, 2024

2024 journal article

Entropy-Based Subsampling Methods for Big Data

JOURNAL OF STATISTICAL THEORY AND PRACTICE, 18(2).

By: Q. Sui n & S. Ghosh n

author keywords: Bayesian; Big data; Information entropy; Likelihood; Representative set
Sources: Web Of Science, NC State University Libraries
Added: April 22, 2024

2024 journal article

Fast Model Selection and Hyperparameter Tuning for Generative Models

ENTROPY, 26(2).

By: L. Chen n & S. Ghosh n

author keywords: integral probability metric; hypothesis testing; Maximum Mean Discrepancy; multi-armed bandits; generative adversarial networks
TL;DR: A procedure which uses hypothesis testing coupled with Successive Halving is proposed to make the resource allocation and early stopping decisions and compares the intermediate performance of generative models by their exponentially weighted Maximum Means Discrepancy (MMD). (via Semantic Scholar)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: February 10, 2024

2024 journal article

Nonparametric Estimation of Conditional Copula Using Smoothed Checkerboard Bernstein Sieves

MATHEMATICS, 12(8).

By: L. Lu n & S. Ghosh n

author keywords: empirical checkerboard Bernstein copula (ECBC); conditional dependence measures; covariates
Sources: ORCID, Web Of Science, NC State University Libraries
Added: April 15, 2024

2024 journal article

Similarity-based active learning methods

Expert Systems with Applications.

By: Q. Sui* & S. Ghosh n

Source: ORCID
Added: April 22, 2024

2024 journal article

Survival Function Estimation for Multiple Sequential Time-to-Events

JOURNAL OF THE INDIAN SOCIETY FOR PROBABILITY AND STATISTICS, 25(1), 47–65.

By: A. Hossain*, S. Ghosh n & H. Chakraborty*

author keywords: Sequential time-to-events; Marginal survival function; Conditional survival function; Kaplan-Meier estimate; Log-normal distribution
Sources: ORCID, Web Of Science, NC State University Libraries
Added: May 1, 2024

2024 article

Transporting survival of an HIV clinical trial to the external target populations

Lee, D., Gao, C., Ghosh, S., & Yang, S. (2024, March 24). JOURNAL OF BIOPHARMACEUTICAL STATISTICS, Vol. 3.

By: D. Lee n, C. Gao n, S. Ghosh n & S. Yang n

author keywords: Data integration; transportability; hazard regression; HIV trials
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: April 1, 2024

2023 article

A Wearable System for Continuous Monitoring and Assessment of Speech, Gait, and Cognitive Decline for Early Diagnosis of ADRD

2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC.

By: J. Dieffenderfer n, A. Brewer n, M. Noonan n, M. Smith n, E. Eichenlaub*, K. Haley*, A. Jacks*, E. Lobaton n ...

TL;DR: This paper presents a low cost and low power wearable system custom designed to track the trends in speech, gait, and cognitive stress while also considering the important human factor needs such as privacy and compliance. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: February 26, 2024

2023 journal article

Bayesian Analysis of First-Order Markov Models for Autocorrelated Binary Responses

JOURNAL OF STATISTICAL THEORY AND PRACTICE, 17(1).

By: D. Lee n & S. Ghosh n

author keywords: Bayesian inference; Binary longitudinal data; B-spline basis; Nonhomogeneous Markov model
TL;DR: A first-order Markov model for binary data is developed that allows for the estimation of any underlying non-decreasing curve based on suitably constructed prior distributions and is extended to the mixed effect model to incorporate individual-specific random effects. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: January 17, 2023

2023 journal article

Beyond Two-dimensional Mass-Radius Relationships: A Nonparametric and Probabilistic Framework for Characterizing Planetary Samples in Higher Dimensions

ASTROPHYSICAL JOURNAL, 956(2).

Sources: ORCID, Web Of Science, NC State University Libraries
Added: October 11, 2023

2023 article

Multivariate Dependence beyond Correlation: Nonparametric Copulas

Ghosh, S. (2023, October 5).

By: S. Ghosh n

UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Source: ORCID
Added: November 25, 2023

2023 journal article

Nonparametric Estimation of Multivariate Copula Using Empirical Bayes Methods

MATHEMATICS, 11(20).

By: L. Lu n & S. Ghosh n

author keywords: Bernstein copula; dependence measures; empirical checkerboard copula; financial data; uncertainty quantification
TL;DR: The proposed empirical checkerboard copula within a hierarchical empirical Bayes model alleviates the aforementioned issues and provides a smooth estimator based on multivariate Bernstein polynomials that itself is shown to be a genuine copula. (via Semantic Scholar)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: October 25, 2023

2023 journal article

Shape-constrained estimation in functional regression with Bernstein polynomials

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 178.

By: R. Ghosal*, S. Ghosh n, J. Urbanek*, J. Schrack* & V. Zipunnikov*

author keywords: Shape constrained estimation; Functional regression; Monotonicity, convexity; Physical activity
UN Sustainable Development Goal Categories
Sources: ORCID, Web Of Science, NC State University Libraries
Added: September 10, 2022

2023 journal article

Unintended environmental benefits of crop insurance: Nitrogen and phosphorus in water bodies

ECOLOGICAL ECONOMICS, 204.

By: X. Lu*, Y. Che n, R. Rejesus n, B. Goodwin n, S. Ghosh n & J. Paudel*

author keywords: Crop insurance; Environmental externalities; Nitrogen pollution
UN Sustainable Development Goal Categories
1. No Poverty (Web of Science)
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: March 20, 2023

2022 journal article

Bayesian Inference for Generalized Linear Model with Linear Inequality Constraints

Computational Statistics & Data Analysis, 166, 107335.

By: R. Ghosal* & S. Ghosh n

author keywords: Bayesian inference; Generalized linear model; Inequality constrained estimation
TL;DR: It is shown that a generalized truncated multivariate normal supported on a desired subspace can be used and facilitates the construction of a general purpose product slice sampling method to obtain (approximate) samples from corresponding posterior distribution, making the inferential method computationally efficient for a wide class of GLMs with an arbitrary set of linear inequality constraints. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: ORCID, Web Of Science, NC State University Libraries
Added: August 26, 2021

2022 article

Generalizing the General: generalizing the CES production function to allow for the viability of input thresholds

Zeytoon-Nejad, A., Goodwin, B. K., & Ghosh, S. (2022, October 29). APPLIED ECONOMICS, Vol. 10.

By: A. Zeytoon-Nejad*, B. Goodwin n & S. Ghosh n

author keywords: Constant easticity of substitution; production function; input threshold requirements; agricultural production
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: November 14, 2022

2022 journal article

Model Validation of a Single Degree-of-Freedom Oscillator: A Case Study

STATS, 5(4), 1195–1211.

author keywords: Bayesian updating; single degree-of-freedom oscillator; validation; modeling error
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: November 22, 2022

2022 article

Modeling Right-skewed Heavy-tail Right-censored Survival Data with Application to HIV Viral Load

Chakraborty, H., Hossain, A., Dey, S., & Ghosh, S. K. (2022, June 14). BULLETIN OF THE MALAYSIAN MATHEMATICAL SCIENCES SOCIETY, Vol. 6.

By: H. Chakraborty*, A. Hossain*, S. Dey & S. Ghosh n

author keywords: Right-skewed data; Heavy-tail data; Survival analysis; Bernstein polynomial; HIV viral load
TL;DR: This article carried out extensive simulation studies with different censoring rates to compare the performance of survival models using sixteen different parametric families and the Bernstein polynomials-based nonparametric model to analyze right-skewed heavy-tailed survival data. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: June 27, 2022

2022 journal article

Nonparametric Estimation and Testing for Positive Quadrant Dependent Bivariate Copula

Journal of Business & Economic Statistics, 40(2), 664–677.

By: L. Lu n & S. Ghosh n

author keywords: Anderson-Darling distance; Bernstein copula; Positive quadrant dependent
UN Sustainable Development Goal Categories
Source: ORCID
Added: January 24, 2021

2022 article

Nonparametric estimation of isotropic covariance function

Wang, Y., & Ghosh, S. K. (2022, November 23). JOURNAL OF NONPARAMETRIC STATISTICS, Vol. 11.

By: Y. Wang n & S. Ghosh n

author keywords: Bernstein polynomials; consistency; sieve maximum likelihood; spatial covariance; stationary isotropic covariance
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: November 23, 2022

2022 journal article

Parameter Estimation for Multi-state Coherent Series and Parallel Systems with Positively Quadrant Dependent Models

SANKHYA-SERIES A-MATHEMATICAL STATISTICS AND PROBABILITY, 84(2), 714–742.

By: L. Kulkarni*, S. Sabnis* & S. Ghosh n

author keywords: Multi-state series system; Generalized method of moments; Maximum likelihood estimation; Positively quadrant dependent; Farlie-Gumbel-Morgenstern distribution
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: September 21, 2020

2022 article

Process-Structure-Property relationship of roping in meltblown nonwovens

Roberts, E., Ghosh, S., & Pourdeyhimi, B. (2022, January 13). JOURNAL OF THE TEXTILE INSTITUTE, Vol. 1.

By: E. Roberts n, S. Ghosh n & B. Pourdeyhimi n

author keywords: Nonwovens; roping; fiber bundles; meltblown media; defects
UN Sustainable Development Goal Categories
Sources: ORCID, Web Of Science, NC State University Libraries
Added: March 10, 2022

2021 journal article

Dynamic Correlation Multivariate Stochastic Volatility Black-Litterman With Latent Factors

International Journal of Statistics and Probability, 10(2), 1.

By: M. Andrei*, S. Ghosh n & J. Zou*

TL;DR: Numerical results show that the proposed method provides flexible interpretation based on the investor’s uncertainty in personal beliefs, and converges to the empirical sample estimate when their confidence level of the market becomes weak. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: February 6, 2021

2021 journal article

Predicting Exoplanet Mass from Radius and Incident Flux: A Bayesian Mixture Model

Monthly Notices of the Royal Astronomical Society, 505(3), 3853–3865.

By: Q. Ma n & S. Ghosh n

author keywords: methods: data analysis; methods: statistical; planets and satellites: fundamental parameters
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 9, 2021

2021 journal article

Uncertainty quantification and estimation of closed curves based on noisy data

Computational Statistics, 36(3), 2161–2176.

By: L. Chen n & S. Ghosh n

author keywords: B-spline curve; Closed curve fitting; Fuzzy c-means algorithm
TL;DR: A new curvature preserving uncertainty quantification method is proposed based on an adaptation of bootstrap method that provides confidence band around the fitted curve, an aspect that is rarely provided by popular curve fitting methods. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: February 20, 2021

2021 journal article

Vulnerability of child health to climate related agricultural productivity threat in India

SUSTAINABLE PRODUCTION AND CONSUMPTION, 27, 2090–2100.

By: M. Sehgal*, S. Ghosh n, K. Singh*, V. Gupta*, K. Lal*, A. Sehgal, A. Mathur*

author keywords: Agricultural vulnerability; Child health index; Climate change; Nutrition security; Underweight
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 2, 2021

2020 journal article

A Functional Metric Approach to Assess Biosimilarity With Application to Rheumatoid Arthritis Trials

STATISTICS IN BIOPHARMACEUTICAL RESEARCH, 12(2), 234–243.

By: S. Ghosh n & L. Dong n

author keywords: Bernstein polynomials; Binary responses; Rheumatic arthritis; Semiparametric models
TL;DR: A functional distance based methodology that takes into consideration the entire time course of the study and is based on a class of flexible semiparametric models is proposed, which shows that the proposed approach is more sensitive than the classical equivalence tests approach. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 20, 2020

2020 speech

A Gambler's Journey through Monte Carlo

Ghosh, S. (2020, November). Presented at the School of Mathematical and Statistical Sciences, University of Texas - Rio Grande Valley.

By: S. Ghosh

Event: School of Mathematical and Statistical Sciences, University of Texas - Rio Grande Valley on November 5, 2020

Source: NC State University Libraries
Added: February 20, 2021

2020 speech

A Glimpse of Monte Carlo Methods

Ghosh, S. (2020, September). Presented at the NCSU Data Analytics Club. https://youtu.be/9Rvb3X3V8bc)

By: S. Ghosh

Event: NCSU Data Analytics Club on September 29, 2020

Source: NC State University Libraries
Added: February 20, 2021

2020 conference paper

A Non-Iterative Quantile Change Detection Method in Mixture Model with Heavy-Tailed Components

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Presented at the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

By: Y. Li*, Q. Ma n & S. Ghosh n

Event: KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

author keywords: mixture model; heavy-tailed distribution; Cauchy distribution; stock data
TL;DR: This paper proposes a robust and quick approach based on change-point methods to determine the number of mixture components that works for almost any location-scale families even when the components are heavy tailed (e.g., Cauchy). (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: February 6, 2021

2020 journal article

Data transforming augmentation for heteroscedastic models

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 29(3), 659–667.

By: H. Tak*, K. You*, S. Ghosh n, B. Su* & J. Kelly*

author keywords: Beta-Binomial; EM algorithm; Gibbs sampler; hierarchical model; linear mixed model; missing data
TL;DR: A framework for the transformation-based DA is outlined, allowing augmented data to be a deterministic function of latent and observed data, and unknown parameters, and it is demonstrated simpler computations and faster convergence rates of resulting iterative algorithms, compared with those under a non-transformation-basedDA scheme. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: February 27, 2020

2020 journal article

Effects of Proportional Hazard Assumption on Variable Selection Methods for Censored Data

STATISTICS IN BIOPHARMACEUTICAL RESEARCH, 12(2), 199–209.

By: A. Sheng n & S. Ghosh n

author keywords: AIDS trials; Crossing survival curves; Hazard regression; Penalized regression
TL;DR: The Cox proportional hazard (PH) model is widely used to determine the effects of risk factors and treatments (covariates) on survival time of subjects that might be right censored and variable selection under two alternative models are explored. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: January 13, 2020

2020 journal article

Exploring the Usefulness of Meteorological Data for Predicting Malaria Cases in Visakhapatnam, Andhra Pradesh

WEATHER CLIMATE AND SOCIETY, 12(2), 323–330.

By: M. Sehgal* & S. Ghosh n

author keywords: Atmosphere; Asia; Air quality; Climate change
TL;DR: The analyses show that the incremental increase in meteorological parameters does not lead to an increase in reported malaria cases in the same manner for all of the districts within the same state, which suggests that other factors such as vegetation, elevation, and water index in the environment also influence disease occurrence. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 18, 2020

2020 journal article

Heatwave duration: Characterizations using probabilistic inference

ENVIRONMETRICS, 31(5).

By: S. Raha n & S. Ghosh n

author keywords: Bayesian; hierarchical model; Poisson approximation; sum of dependent Bernoulli sequence
TL;DR: A probabilistic inferential framework to characterize heatwave and come up with a definition that can capture the essence of all existing ad hoc definitions is devised and an empirical quadratic curve based relationship between expected durations and extreme thresholds is derived. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 6, 2020

2020 speech

Monte Carlo Methods in Practice

Ghosh, S. (2020, July). Presented at the Online Summer REU Program, University of North Carolina, Greensboro.

By: S. Ghosh

Event: Online Summer REU Program, University of North Carolina, Greensboro on July 17, 2020

Source: NC State University Libraries
Added: February 20, 2021

2020 conference paper

On Empirical Estimation of Mode Based on Weakly Dependent Samples

Ghosh, S. (2020, December 18). Presented at the International Conference on Statistics for Twenty-First Century.

By: S. Ghosh

Event: International Conference on Statistics for Twenty-First Century on December 18, 2020

Source: NC State University Libraries
Added: February 20, 2021

2020 journal article

On empirical estimation of mode based on weakly dependent samples

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 152.

By: B. Liu n & S. Ghosh n

author keywords: Bernstein polynomials; Empirical mode estimator; Strong consistency; Anderson-Darling test
TL;DR: A non-parametric estimate of thedensity is proposed based on a sequence of mixtures of Beta densities which allows for the estimation of the mode even when the mode is possibly located on the boundary of the support of the density. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: October 12, 2020

2020 journal article

Probabilistic Detection and Estimation of Conic Sections From Noisy Data

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 29(3), 513–522.

By: S. Guha* & S. Ghosh n

author keywords: Bayesian hierarchical model; Bernstein basis polynomials; Focus-directrix approach; Markov chain Monte Carlo; Metropolis-Hastings algorithm; Partial conics
TL;DR: A general purpose Bayesian hierarchical model is proposed for conic sections and corresponding estimation method based on noisy data is shown to work even when the specific nature of the conic section is unknown, providing probabilistic detection of the underlying conicsection and inference about the associated parameters. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 20, 2020

2020 journal article

Rating exotic price coverage in crop revenue insurance

AGRICULTURAL FINANCE REVIEW, 80(5), 609–631.

By: A. Ramsey*, S. Ghosh n & B. Goodwin n

author keywords: Crop revenue insurance; Nested copulas; Domestic credit; Exotic price coverage
UN Sustainable Development Goal Categories
1. No Poverty (Web of Science)
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: May 18, 2020

2019 report

An Unified Semiparametric Approach to Model Lifetime Data with Crossing Survival Curves

(ArXiv No. 1910.04475).

By: F. Demarqui, V. Mayrink & S. Ghosh

Source: NC State University Libraries
Added: February 20, 2021

2019 book

Bayesian Statistical Methods

By: B. Reich & S. Ghosh*

UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: February 6, 2021

2019 speech

Does Knowledge of Shapes Matter in Statistics?

Ghosh, S. (2019, March). Presented at the Department of Applied and Computational Mathematics and Statistics Colloquium, University of Notre Dame, Notre Dame, IN.

By: S. Ghosh

Event: Department of Applied and Computational Mathematics and Statistics Colloquium, University of Notre Dame at Notre Dame, IN on March 22, 2019

Source: NC State University Libraries
Added: February 20, 2021

2019 speech

Dynamic Correlation Multivariate Stochastic Volatility with Latent Factors

Ghosh, S. (2019, April). Presented at the Department of Mathematics Colloquium, North Dakota State University, Fargo, ND.

By: S. Ghosh

Event: Department of Mathematics Colloquium, North Dakota State University at Fargo, ND on April 11, 2019

Source: NC State University Libraries
Added: February 20, 2021

2019 conference paper

Dynamic Correlation Multivariate Stochastic Volatility with Latent Factors

Proceedings of the International Conference on Computer Age Statistics in the Era of Big and High Dimensional Data. Presented at the International Conference on Computer Age Statistics, Savitribai Phule Pune University, Pune, India.

By: S. Ghosh

Event: International Conference on Computer Age Statistics at Savitribai Phule Pune University, Pune, India on January 3-5, 2019

Source: NC State University Libraries
Added: February 20, 2021

2019 journal article

How High the Hedge: Relationships Between Prices and Yields in the Federal Crop Insurance Program

Journal of Agricultural and Resource Economics, 44(2), 227–245.

By: A. Ramsey, B. Goodwin & S. Ghosh*

Sources: NC State University Libraries, NC State University Libraries
Added: February 20, 2021

2019 journal article

Maximum Entropy-based Probabilistic Mass-Radius Relation of Exoplanets

ASTRONOMICAL JOURNAL, 158(2).

By: Q. Ma n & S. Ghosh n

author keywords: methods: statistical; planets and satellites: composition
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 19, 2019

2019 conference paper

On the Probability Distributions of Duration of Heatwaves

Proceedings of the ICSA 2019 Applied Statistics Symposium. Presented at the ICSA 2019 Applied Statistics Symposium, Raleigh, NC.

By: S. Ghosh

Event: ICSA 2019 Applied Statistics Symposium at Raleigh, NC on June 9-12, 2019

Source: NC State University Libraries
Added: February 20, 2021

2019 journal article

Robust and Accurate Inference via a Mixture of Gaussian and Student's t Errors

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 28(2), 415–426.

By: H. Tak*, J. Ellis* & S. Ghosh n

author keywords: Gaussian process; Gibbs sampling; Hierarchical model; Huber's M-estimator; Linear mixed model; Outlier; Time series
TL;DR: A mixture error assumption is proposed that selectively converts Gaussian errors into Student's t errors according to latent outlier indicators, leveraging the best of the Gaussian and Student’s t errors; a parameter estimation can be not only robust but also accurate. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: July 15, 2019

2019 journal article

Saying Sayonara to the Farm: Hierarchical Bayesian Modeling of Farm Exits in Japan

JOURNAL OF AGRICULTURAL ECONOMICS, 70(2), 372–391.

By: A. Ramsey, S. Ghosh* & T. Sonoda

author keywords: Bayesian estimation; Japan; off-farm employment; off-farm income; prediction of farm exits
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: July 22, 2019

2019 conference paper

Spatial Models for the Duration and Frequency of Heatwaves Based on Stationary Processes

In A. Adhikari & M. R. Adhikari (Eds.), Proceedings of the IMBIC (Vol. 8, p. 209). Kolkata, India: Institute for Mathematics, Bio-informatics, Information-Technology and Computer Science.

By: S. Ghosh

Ed(s): A. Adhikari & M. Adhikari

Event: 13th International Conference of IMBIC on Mathematical Science for Advancement of Science and Technology (MSAST 2019) at Kolkata, India on December 21-23, 2019

Source: NC State University Libraries
Added: February 20, 2021

2019 speech

When are PH, AFT and PO Models not Adequate for Health Risk Assessment?

Ghosh, S. (2019, August). Presented at the SAMSI-GDRR Opening Workshop, Raleigh, NC.

By: S. Ghosh

Event: SAMSI-GDRR Opening Workshop at Raleigh, NC on August 6, 2019

Source: NC State University Libraries
Added: February 20, 2021

2018 report

A Statistical Exploration of Duckworth-Lewis Method Using Bayesian Inference

(ArXiv No. 1810.00908).

By: I. Bhattacharya, R. Ghosal & S. Ghosh

Source: NC State University Libraries
Added: February 20, 2021

2018 speech

A Statistician's Journey: Astronomy to Zoology

Ghosh, S. (2018, March). Presented at the Mu Sigma Rho Banquet Speech, North Carolina State University, Raleigh, NC.

By: S. Ghosh

Event: Mu Sigma Rho Banquet Speech at North Carolina State University, Raleigh, NC on March 20, 2018

Source: NC State University Libraries
Added: February 20, 2021

2018 speech

Bayesian Sample Size Determination Methods for Hypotheses Testing

Ghosh, S. (2018, August). Presented at the KOL Lecture Series, The DIA Bayesian Scientific Working Group.

By: S. Ghosh

Event: KOL Lecture Series, The DIA Bayesian Scientific Working Group on August 24, 2018

Source: NC State University Libraries
Added: February 20, 2021

2018 conference paper

Does Knowledge of Shapes Matter in Statistics?

Proceedings of the International Conference on Advances in Interdisciplinary Statistics and Combinatorics. Presented at the International Conference on Advances in Interdisciplinary Statistics and Combinatorics, University of North Carolina-Greensboro, Greensboro, NC.

By: S. Ghosh

Event: International Conference on Advances in Interdisciplinary Statistics and Combinatorics at University of North Carolina-Greensboro, Greensboro, NC on October 5-7, 2018

Source: NC State University Libraries
Added: February 20, 2021

2018 journal article

Dynamic correlation multivariate stochastic volatility with latent factors

Statistica Neerlandica, 72(1), 48–69.

By: S. Wu*, S. Ghosh n, Y. Ku n & P. Bloomfield n

author keywords: correlation breakdown; interval forecast efficiency; log-concavity; multivariate stochastic volatility; Wishart processes
Sources: Crossref, NC State University Libraries
Added: February 6, 2021

2018 journal article

How proper are Bayesian models in the astronomical literature?

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 481(1), 277–285.

By: H. Tak*, S. Ghosh n & J. Ellis*

author keywords: methods: data analysis; methods: miscellaneous; methods: statistical
TL;DR: Why checking posterior propriety is fundamental in Bayesian analyses is reviewed, and how to set up scientifically motivated proper priors is discussed. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: December 3, 2018

2018 conference paper

Inference about Conditional Hazard Function without PH and AFT Assumptions

Presented at the ASA Biopharmaceutical Section Statistics Workshop, Washington, DC.

By: S. Ghosh

Event: ASA Biopharmaceutical Section Statistics Workshop at Washington, DC on September 12-14, 2018

Source: NC State University Libraries
Added: February 20, 2021

2018 report

Multivariate Density Estimation with Missing Data

(ArXiv No. 1808.04780).

By: Z. Li, L. Wu, W. Zhou & S. Ghosh

Source: NC State University Libraries
Added: February 20, 2021

2018 journal article

On nonparametric estimation of the latent distribution for ordinal data

Computational Statistics & Data Analysis, 119, 86–98.

By: S. Ghosh n, C. Burns*, D. Prager*, L. Zhang* & G. Hui*

author keywords: Anderson Darling statistic; Bernstein polynomials; Quadratic programming; Survey data
TL;DR: A nonparametric model based on mixtures of scaled Beta distributions is presented and estimation is carried out using a version of Anderson–Darling statistic-based criteria which is shown to be computationally more efficient than likelihood based criteria and robust against any underlying continuous distribution. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Crossref, ORCID, NC State University Libraries
Added: February 21, 2020

2018 journal article

Predicting Exoplanet Masses and Radii: A Nonparametric Approach

ASTROPHYSICAL JOURNAL, 869(1).

By: B. Ning*, A. Wolfgang* & S. Ghosh n

author keywords: methods: statistical; planets and satellites: composition
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: December 31, 2018

2018 speech

Statistical Learning Methods Workshop

Presented at the Thammasat University, Bangkok, Thailand.

By: S. Ghosh

Event: Thammasat University at Bangkok, Thailand on December 11-14, 2018

Source: NC State University Libraries
Added: February 20, 2021

2018 conference paper

When the Kendall's Tau or Spearman's Rho Are Not Good Measures of Dependence?

Proceedings of the Southern Economic Association Conference. Presented at the Southern Economic Association Conference, Washington, DC.

By: S. Ghosh

Event: Southern Economic Association Conference at Washington, DC on November 18-20, 2018

Source: NC State University Libraries
Added: February 20, 2021

2017 journal article

A comparative study of the dose-response analysis with application to the target dose estimation

JOURNAL OF STATISTICAL THEORY AND PRACTICE, 11(1), 145–162.

By: S. Shin* & S. Ghosh n

author keywords: Bayesian inference; dose-response model; target dose; nonparametric methods
TL;DR: A comparative analysis of some of the existing and newly proposed RPF estimation methods with particular emphasis on target dose estimation, found to be robust against model misspecification. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2017 journal article

Disentangling Time-series Spectra with Gaussian Processes: Applications to Radial Velocity Analysis

The Astrophysical Journal, 840(1), 49.

author keywords: binaries: spectroscopic; celestial mechanics; stars: fundamental parameters; stars: individual (LP661-13); techniques: radial velocities; techniques: spectroscopic
Sources: Crossref, NC State University Libraries
Added: February 6, 2021

2017 conference paper

Dynamic Correlation Multivariate Stochastic Volatility with Latent Factors

Presented at the NBER-NSF Seminar on Bayesian Inference in Econometrics and Statistics, Washington University, St. Louis, MO.

By: S. Ghosh

Event: NBER-NSF Seminar on Bayesian Inference in Econometrics and Statistics at Washington University, St. Louis, MO on May 26-27, 2017

Source: NC State University Libraries
Added: May 3, 2021

2017 conference paper

Flexible Models for Gaussian Processes with Applications to Correlated Data

Ghosh, S. (2017, November 10). Presented at the Applied Mathematics & Statistics Colloquium, Department of Mathematics, Case Western Reserve University, Cleveland, OH.

By: S. Ghosh

Event: Applied Mathematics & Statistics Colloquium at Department of Mathematics, Case Western Reserve University, Cleveland, OH on November 10, 2017

Source: NC State University Libraries
Added: May 3, 2021

2017 conference paper

Fostering Diversity in Biostatistics Workshop

Ghosh, S. (2017, March 12). Presented at the Eastern North American Region International Biometric Society, Washington, DC.

By: S. Ghosh

Event: Eastern North American Region International Biometric Society at Washington, DC on March 12, 2017

Source: NC State University Libraries
Added: May 3, 2021

2017 conference paper

How High the Hedge: Price-Yield Relationships in the Federal Crop Insurance Program, Statistical Methods in Finance

Presented at the Chennai Mathematical Institute, Chennai, India.

By: S. Ghosh

Event: Chennai Mathematical Institute at Chennai, India on December 17-19, 2017

Source: NC State University Libraries
Added: April 26, 2021

2017 conference paper

Key Factors Affecting Children's Health in India: Results from NFHS-4 study

Ghosh, S. (2017, September 15). Presented at the Global Environmental Health Day, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC.

By: S. Ghosh

Event: Global Environmental Health Day, National Institute of Environmental Health Sciences (NIEHS) at Research Triangle Park, NC on September 15, 2017

Source: NC State University Libraries
Added: May 3, 2021

2017 chapter

Nonparametric Estimation of Mean Residual Life Function Using Scale Mixtures

In Mathematical and Statistical Applications in Life Sciences and Engineering (pp. 169–191).

By: S. Ghosh n & S. Liu n

Sources: Crossref, NC State University Libraries
Added: February 6, 2021

2017 conference paper

Nonparametric Modeling of Heavy-tailed Distributions with Applications to Extreme Events

Presented at the International Conference on Mathematical Sciences for Advancement of Science and Technology, IMBIC, Kolkata, India.

By: S. Ghosh

Event: International Conference on Mathematical Sciences for Advancement of Science and Technology, IMBIC at Kolkata, India on December 21-23, 2017

Source: NC State University Libraries
Added: April 26, 2021

2017 speech

Nonparametric Models for Gaussian Processes with Applications to Spatial and Longitudinal Data

Ghosh, S. (2017, March). Presented at the Department of Mathematical Sciences, University of Cincinnati, Cincinnati, OH.

By: S. Ghosh

Event: Department of Mathematical Sciences at University of Cincinnati, Cincinnati, OH on March 2, 2017

Source: NC State University Libraries
Added: May 3, 2021

2017 conference paper

Nonparametric Models for Irregularly Sampled Censored Data with Applications to Liver Transplant Allocations

Presented at the Joint Statistical Meetings, Baltimore, MD.

By: S. Ghosh

Event: Joint Statistical Meetings at Baltimore, MD on July 29 - August 3, 2017

Source: NC State University Libraries
Added: May 3, 2021

2017 speech

Regression Models for Censored Data: When it?s NOT a good idea to use PH, AFT and other such models?

Ghosh, S. (2017, November). Presented at the ASA BioPharmaceutical Section Webinar.

By: S. Ghosh

Event: ASA BioPharmaceutical Section Webinar on November 14, 2017

Source: NC State University Libraries
Added: April 26, 2021

2017 conference paper

Regression and Reliability Models for Predicting Customer Churning, Statistics in Business Analytics

Presented at the Statistics in Business Analytics, International Society for Business and Industrial Statistics, IBM T. J. Watson Research Center, Yorktown Heights, NY.

By: S. Ghosh

Event: Statistics in Business Analytics, International Society for Business and Industrial Statistics at IBM T. J. Watson Research Center, Yorktown Heights, NY on June 7-9, 2017

Source: NC State University Libraries
Added: May 3, 2021

2017 conference paper

SAMSI workshop on Time Series Analysis for Synoptic Surveys and Gravitational Wave Astronomy

Presented at the International Centre for Theoretical Sciences, Bengaluru, India.

By: S. Ghosh

Event: International Centre for Theoretical Sciences at Bengaluru, India on March 20-23, 2017

Source: NC State University Libraries
Added: May 3, 2021

2017 conference paper

Semiparametric Estimation of the Mass-Radius Joint Distribution for Sub-Neptune Sized Planets

Presented at the International Indian Statistical Association Annual Conference, Hyderabad, India.

By: S. Ghosh

Event: International Indian Statistical Association Annual Conference at Hyderabad, India on December 28-30, 2017

Source: NC State University Libraries
Added: April 26, 2021

2017 speech

When are PH, AFT and PO models not adequate for regression with censored responses?

Presented at the Department of Biostatistics, Virginia Commonwealth University, Richmond, VA.

By: S. Ghosh

Event: Department of Biostatistics at Virginia Commonwealth University, Richmond, VA on March 31, 2017

Source: NC State University Libraries
Added: May 3, 2021

2016 journal article

A Novel Bayesian Approach to Analyzing `Thorough QT/QTc Study'

Journal of Statistical Research, 48-50(2), 21–36.

By: S. Ghosh & S. Anand

Source: NC State University Libraries
Added: May 3, 2021

2016 journal article

A two-sample distribution-free test for functional data with application to a diffusion tensor imaging study of multiple sclerosis

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 65(3), 395–414.

By: G. Pomann*, A. Staicu n & S. Ghosh n

author keywords: Diffusion tensor imaging; Functional principal component analysis; Hypothesis testing; Multiple sclerosis
TL;DR: A non‐parametric testing procedure for testing the null hypothesis that two samples of curves observed at discrete grids and with noise have the same underlying distribution is developed, which reduces the dimension of the testing problem in a way that enables the use of traditional non-parametric univariate testing procedures. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2016 conference paper

Analyzing Liver Transplant Waiting Times using Semi-Parametric Models for Ordinal Predictors

Presented at the International Indian Statistical Association (IISA) Conference, Oregon State University, Corvallis, OR.

By: S. Ghosh

Event: International Indian Statistical Association (IISA) Conference at Oregon State University, Corvallis, OR on August 19-21, 2016

Source: NC State University Libraries
Added: May 3, 2021

2016 conference paper

Bayesian Methods using WinBUGS: A Case study with Count Data

Presented at the Workshop on Quantitative Methods for Public Health Researchers, Calcutta University, Kolkata, India.

By: S. Ghosh

Event: Workshop on Quantitative Methods for Public Health Researchers at Calcutta University, Kolkata, India on December 28-30, 2016

Source: NC State University Libraries
Added: May 3, 2021

2016 conference paper

Bayesian Sample Size Determination for Clinical Trials

Ghosh, S. (2016, December 23). Presented at the Workshop on Clinical Data Analytics, Indian Institute of Public Health, Hyderabad, India.

By: S. Ghosh

Event: Workshop on Clinical Data Analytics at Indian Institute of Public Health, Hyderabad, India on December 23, 2016

Source: NC State University Libraries
Added: May 3, 2021

2016 conference paper

Dynamic Correlation Multivariate Stochastic Volatility with Latent Factors

Presented at the International Conference on Advances in Interdisciplinary Statistics and Combinatorics, University of North Carolina, Greensboro, NC.

By: S. Ghosh

Event: International Conference on Advances in Interdisciplinary Statistics and Combinatorics at University of North Carolina, Greensboro, NC on October 1-2, 2016

Source: NC State University Libraries
Added: May 3, 2021

2016 conference paper

Dynamic Model Based Methods to Test for Biosimilarity

Ghosh, S. (2016, March 25). Presented at the Department of Statistics Colloquium, University of Connecticut, Storrs, CT.

By: S. Ghosh

Event: Department of Statistics Colloquium, University of Connecticut at Storrs, CT on March 25, 2016

Source: NC State University Libraries
Added: May 3, 2021

2016 conference paper

Effects of PM on Mortality

Presented at the Statistical Methods and Analysis of Environmental Health Data Workshop (SAMSI-SAVI), Mumbai, India.

By: S. Ghosh

Event: Statistical Methods and Analysis of Environmental Health Data Workshop (SAMSI-SAVI) at Mumbai, India on May 30 - June 3, 2016

Source: NC State University Libraries
Added: May 3, 2021

2016 journal article

Fast Hamiltonian Monte Carlo Using GPU Computing

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 25(2), 536–548.

By: A. Beam, S. Ghosh* & J. Doyle*

Contributors: A. Beam, S. Ghosh* & J. Doyle*

author keywords: GPU; Hamiltonian Monte Carlo; MCMC; Multinomial regression
TL;DR: The proposed computational framework may appear conceptually very simple, but has the potential to be applied to a wide class of hierarchical models relying on HMC sampling, whose posterior density and corresponding gradients are amenable to significant speed ups through the use of GPUs. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2016 conference paper

Nonparametric Regression Models for Right-censored Data: Beyond Proportional Hazards

Ghosh, S. (2016, November 10). Presented at the Biostatistics Seminar, School of Public Health University of Pittsburgh, Pittsburgh, PA.

By: S. Ghosh

Event: Biostatistics Seminar at School of Public Health University of Pittsburgh, Pittsburgh, PA on November 10, 2016

Source: NC State University Libraries
Added: May 3, 2021

2016 report

On Nonparametric Estimation of the Latent Distribution for Ordinal Data

(Department of Statistics Technical Report No. 2661). Raleigh, NC: North Carolina State University.

By: S. Ghosh, C. Burns, D. Prager, L. Zhang & G. Hui

Source: NC State University Libraries
Added: May 3, 2021

2016 conference paper

Semi-parametric Model Based Methods to Test for Biosimilarity

Ghosh, S. (2016, May). Presented at the Department of Statistics Colloquium, Oregon State University, Corvallis, OR.

By: S. Ghosh

Event: Department of Statistics Colloquium, Oregon State University at Corvallis, OR on May 9, 2016

Source: NC State University Libraries
Added: May 3, 2021

2016 conference paper

Semiparametric Estimation of the Mass-Radius Joint Distribution for Sub-Neptune Sized Planets

Presented at the Platinum Jubilee International Conference on Applied Statistics, Calcutta University, Kolkata, India.

By: S. Ghosh

Event: Platinum Jubilee International Conference on Applied Statistics at Calcutta University, Kolkata, India on December 21-23, 2016

Source: NC State University Libraries
Added: May 3, 2021

2016 conference paper

Short Course Bayesian Methods for Biostatisticians

Ghosh, S., Best, N., Lipkovich, I., & Song, G. (2016, May 1). Presented at the Trends and Innovations in Clinical Trial Statistics Conference, Durham, NC.

By: S. Ghosh, N. Best, I. Lipkovich & G. Song

Event: Trends and Innovations in Clinical Trial Statistics Conference at Durham, NC on May 1, 2016

Source: NC State University Libraries
Added: May 3, 2021

2016 conference paper

Some New Metrics to Test for Biosimilarity

Presented at the Joint Statistical Meetings, McCormick Place, Chicago, IL.

By: S. Ghosh

Event: Joint Statistical Meetings at McCormick Place, Chicago, IL on August 1-3, 2016

Source: NC State University Libraries
Added: May 3, 2021

2016 speech

Statistical Inference Subject to Shape Constraint

Presented at the Helen Barton Lecture Series in Mathematical Sciences, Department of Mathematics and Statistics, University of North Carolina, Greensboro, NC.

By: S. Ghosh

Event: Helen Barton Lecture Series in Mathematical Sciences, Department of Mathematics and Statistics at University of North Carolina, Greensboro, NC on November 14-16, 2016

Source: NC State University Libraries
Added: May 3, 2021

2016 speech

Statistical Methods to Test for Biosimilarity

Ghosh, S. (2016, March). Presented at the ASA Continuing Education Webinar of Biopharmaceutical Section.

By: S. Ghosh

Event: ASA Continuing Education Webinar of Biopharmaceutical Section on March 29, 2016

Source: NC State University Libraries
Added: May 3, 2021

2016 conference paper

Statistical Metrics for Biosimilarity

Presented at the SACNAS Annual Conference, Long Beach, CA.

By: S. Ghosh

Event: SACNAS Annual Conference at Long Beach, CA on October 13-15, 2016

Source: NC State University Libraries
Added: May 3, 2021

2015 conference paper

A Statistician's Journey: Atmospheric Sciences to Zoology

Presented at the Annual SACNAS Conference, Washington, DC.

By: S. Ghosh

Event: Annual SACNAS Conference at Washington, DC on October 28-31, 2015

Source: NC State University Libraries
Added: May 3, 2021

2015 speech

A exible observed factor model with separate dynamics for the factor volatilities and their correlation matrix

Ghosh, S. (2015, April). Presented at the Institute for Integrating Statistics in Decision Sciences, Department of Decision Sciences, George Washington University, Washington, DC.

By: S. Ghosh

Event: Institute for Integrating Statistics in Decision Sciences at Department of Decision Sciences, George Washington University, Washington, DC on April 3, 2015

Source: NC State University Libraries
Added: May 3, 2021

2015 conference paper

Analyzing Longitudinal Data Using a Sieve of Bernstein Polynomials

Presented at the 60a Reunião Anual da RBras e 16 SEAGRO Presidente Prudente, São Paulo, Brazil.

By: S. Ghosh

Event: 60a Reunião Anual da RBras e 16 SEAGRO Presidente Prudente at São Paulo, Brazil on July 20-23, 2015

Source: NC State University Libraries
Added: May 3, 2021

2015 speech

Bayesian Methods for Reliability, International Workshop on Reliability and Time Series Methodology

Presented at the Cochin University of Science and Technology, Cochin, Kerala, India.

By: S. Ghosh

Event: Cochin University of Science and Technology at Cochin, Kerala, India on January 5-7, 2015

Source: NC State University Libraries
Added: May 3, 2021

2015 conference paper

Dynamic Model Based Methods to Test for Biosimilarity

Presented at the Ninth International Triennial Calcutta Symposium on Probability and Statistics, Kolkata, India.

By: S. Ghosh

Event: Ninth International Triennial Calcutta Symposium on Probability and Statistics at Kolkata, India on December 28-31, 2015

Source: NC State University Libraries
Added: May 3, 2021

2015 journal article

Efficient Sampling Methods for Truncated Multivariate Normal and Student-tDistributions Subject to Linear Inequality Constraints

Journal of Statistical Theory and Practice, 9(4), 712–732.

By: Y. Li n & S. Ghosh n

Contributors: Y. Li n & S. Ghosh n

author keywords: Gibbs sampler; Rejection sampling; Truncated multivariate normal distribution; Truncated multivariate Student-t distribution; Truncated scale mixture of multivariate normal distribution
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: ORCID, Crossref, NC State University Libraries
Added: January 24, 2021

2015 speech

High-dimensional Multivariate Imputation Methods for ARMS Data Featuring New Methods for Ordinal Variables

Ghosh, S. (2015, April). Presented at the Economic Research Services, USDA, Washington, DC.

By: S. Ghosh

Event: Economic Research Services, USDA at Washington, DC on April 2, 2015

Source: NC State University Libraries
Added: May 3, 2021

2015 speech

Nonparametric Estimation of the Conditional Mean Residual Life Function

Ghosh, S. (2015, July). Presented at the Departmento de Metodos Estatsticos Instituto de Matematica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.

By: S. Ghosh

Event: Departmento de Metodos Estatsticos Instituto de Matematica, Universidade Federal do Rio de Janeiro at Rio de Janeiro, Brazil on July 17, 2015

Source: NC State University Libraries
Added: May 3, 2021

2015 conference paper

Nonparametric Longitudinal Analysis of Irregularly Observed Noisy Data

Ghosh, S. (2015, November 13). Presented at the Department of Statistics Colloquium Western Michigan University, Kalamazoo, MI.

By: S. Ghosh

Event: Department of Statistics Colloquium Western Michigan University at Kalamazoo, MI on November 13, 2015

Source: NC State University Libraries
Added: May 3, 2021

2015 speech

Nonparametric Models for Longitudinal Data Using Bernstein Polynomials

Presented at the G70: A Celebration of Alan Gelfand's 70th Birthday, Duke University, Durham, NC.

By: S. Ghoah

Event: G70: A Celebration of Alan Gelfand's 70th Birthday at Duke University, Durham, NC on April 19-22, 2015

Source: NC State University Libraries
Added: May 3, 2021

2015 conference paper

Nonparametric estimation of the conditional mean residual life function

Presented at the QPRC-2015, Raleigh, NC.

By: S. Ghosh

Event: QPRC-2015 at Raleigh, NC on June 10-12, 2015

Source: NC State University Libraries
Added: May 3, 2021

2015 journal article

On the degrees of freedom in MCMC-based Wishart models for time series data

STATISTICS & PROBABILITY LETTERS, 98, 59–64.

By: Y. Xiao*, Y. Ku, P. Bloomfield n & S. Ghosh n

Contributors: Y. Xiao*, Y. Ku, P. Bloomfield n & S. Ghosh n

author keywords: Degrees of freedom; Gyndikin's theorem; Markov chain Monte Carlo; Sensitivity analysis; Wishart distribution
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2015 report

On the estimation of the order of smoothness of the regression function

(ArXiv Preprint No. 1510.02967).

By: D. Taylor-Rodriguez & S. Ghosh

Source: NC State University Libraries
Added: May 3, 2021

2015 conference paper

Opportunities at SAMSI

Presented at the NISS-SAMSI Aliate Annual Meeting at ENAR, Miami, FL.

By: S. Ghosh

Event: NISS-SAMSI Aliate Annual Meeting at ENAR at Miami, FL on March 15-16, 2015

Source: NC State University Libraries
Added: May 3, 2021

2015 conference paper

Spatio-Temporal Analysis of Total Nitrate Concentrations Using Dynamic Statistical Models

Presented at the VI-MSS Workshop on Environmental Statistics, Indian Statistical Institute, Kolkata, India.

By: S. Ghosh

Event: VI-MSS Workshop on Environmental Statistics, Indian Statistical Institute at Kolkata, India on March 2-4, 2015

Source: NC State University Libraries
Added: May 3, 2021

2015 conference paper

Using Historical Data in Clinical Trials: A Discussion

Presented at the FDA-Industry Statistics Workshop, Washington, DC.

By: S. Ghosh

Event: FDA-Industry Statistics Workshop at Washington, DC on September 16-18, 2015

Source: NC State University Libraries
Added: May 3, 2021

2014 conference paper

A Computationally Ecient Flexible Observed Factor Model with Separate Dynamics for the Factor Volatilities and Correlation Matrix

Presented at the International Symposium on Business and Industrial Statistics: Conference of the ASA Section on Statistical Learning and Data Mining, Durham, NC.

By: S. Ghosh

Event: International Symposium on Business and Industrial Statistics: Conference of the ASA Section on Statistical Learning and Data Mining at Durham, NC on June 9-11, 2014

Source: NC State University Libraries
Added: May 4, 2021

2014 speech

A Semiparametric Approach to Source Separation using Independent Component Analysis

Ghosh, S. (2014, April). Presented at the Department of Mathematics, University of Maryland, College Park, MD.

By: S. Ghosh

Event: Department of Mathematics, University of Maryland at College Park, MD on April 17, 2014

Source: NC State University Libraries
Added: May 4, 2021

2014 speech

A Semiparametric Approach to Source Separation using Independent Component Analysis

Ghosh, S. (2014, October). Presented at the Department of Statistics, University of Georgia, Athens, GA.

By: S. Ghosh

Event: Department of Statistics, University of Georgia at Athens, GA on October 30, 2014

Source: NC State University Libraries
Added: May 4, 2021

2014 journal article

A flexible observed factor model with separate dynamics for the factor volatilities and their correlation matrix

STATISTICAL MODELLING, 14(1), 1–20.

By: Y. Ku, P. Bloomfield n & S. Ghosh n

Contributors: Y. Ku, P. Bloomfield n & S. Ghosh n

Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2014 conference paper

Bayesian methods in global clinical trials: an era of synthesizing evidence

Presented at the Joint Statistical Meetings, Boston, MA.

By: S. Ghosh

Event: Joint Statistical Meetings at Boston, MA on August 2-7, 2014

Source: NC State University Libraries
Added: May 4, 2021

2014 journal article

Maximum likelihood estimation for generalized conditionally autoregressive models of spatial data

JOURNAL OF THE KOREAN STATISTICAL SOCIETY, 43(3), 339–353.

By: M. Kyung* & S. Ghosh n

Contributors: M. Kyung* & S. Ghosh n

author keywords: Conditionally autoregressive models; Kernel estimator; Lattice data; Maximum likelihood estimation; Spatial analysis
TL;DR: A new class of spatial models is proposed that adaptively determines neighbors based on a bivariate kernel using the distances and angles between the centroid of the regions. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2014 book

Modeling Dependence in the Design of Crop Insurance Contracts: Crop Insurance and Modeling Dependence

Saarbrücken, Germany: Scholars Press.

By: Y. Zhu, B. Goodwin & S. Ghosh

Source: NC State University Libraries
Added: May 4, 2021

2014 speech

Nonparametric Models for Longitudinal Data Subject to Shape Constraints

Presented at the Department of Statistics, Texas A& M University, College Station, Texas.

By: S. Ghosh

Event: Department of Statistics, Texas A& M University at College Station, Texas on February 28, 2014

Source: NC State University Libraries
Added: May 4, 2021

2014 conference paper

Opportunities at SAMSI

Presented at the Modern Math Workshop at SACNAS, Los Angeles, CA.

By: S. Ghosh

Event: Modern Math Workshop at SACNAS at Los Angeles, CA on October 15-16, 2014

Source: NC State University Libraries
Added: May 4, 2021

2014 speech

Semi-parametric Hierarchical Models for Longitudinal Data Subject to Shape Constraints, Conference On Frontiers of Hierarchical Modeling in Observational Studies, Complex Surveys and Big Data

Presented at the University of Maryland, College Park, MD.

By: S. Ghosh

Event: University of Maryland at College Park, MD on May 29-31, 2014

Source: NC State University Libraries
Added: May 4, 2021

2014 journal article

Unimodal density estimation using Bernstein polynomials

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 72, 13–29.

By: B. Turnbull n & S. Ghosh n

Contributors: B. Turnbull n & S. Ghosh n

author keywords: Bernstein polynomials; Density estimation; Mixture models; Unimodal
TL;DR: A flexible class of mixture of Beta densities that are constrained to be unimodal is presented and it is shown that the estimation of the mixing weights, and the number of mixing components, can be accomplished using a weighted least squares criteria subject to a set of linear inequality constraints. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2013 journal article

A semiparametric approach to source separation using independent component analysis

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 58(1), 383–396.

By: A. Eloyan* & S. Ghosh n

Contributors: A. Eloyan* & S. Ghosh n

author keywords: Constrained EM-algorithm; Mixture density estimation; Source identification
TL;DR: A set of sufficient conditions to establish the identifiability of the sources and the mixing matrix using moment restrictions of the hidden source variables are presented and under such sufficient conditions a semi-parametric maximum likelihood estimate of themix matrix is obtained using a class of mixture distributions. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2013 journal article

Bayesian Analysis of ZeroAltered Poisson Regression Models

Thailand Statistician, 11, 111–131.

By: T. Kunthong, S. Ghosh & S. Chaimongkol

Source: NC State University Libraries
Added: May 4, 2021

2013 journal article

Bayesian Average Error-Based Approach to Sample Size Calculations for Hypothesis Testing

JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 23(3), 569–588.

By: E. Reyes* & S. Ghosh n

Contributors: E. Reyes* & S. Ghosh n

author keywords: Bayes factor; Bayesian average errors; Hypothesis testing; Sample size determination
MeSH headings : Algorithms; Anticholesteremic Agents / adverse effects; Anticholesteremic Agents / therapeutic use; Bayes Theorem; Child; Clinical Trials as Topic / statistics & numerical data; Data Interpretation, Statistical; Fluorobenzenes / adverse effects; Fluorobenzenes / therapeutic use; Humans; Hydroxymethylglutaryl-CoA Reductase Inhibitors / adverse effects; Hydroxymethylglutaryl-CoA Reductase Inhibitors / therapeutic use; Patient Safety; Pyrimidines / adverse effects; Pyrimidines / therapeutic use; Rosuvastatin Calcium; Sample Size; Sulfonamides / adverse effects; Sulfonamides / therapeutic use
TL;DR: This work considers rejecting the null hypothesis, in favor of the alternative, when a test statistic exceeds a cutoff, and chooses the cutoff to minimize a weighted sum of Bayesian average errors and the sample size to bound the total error for the hypothesis test. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2013 journal article

Bayesian unit-root testing in stochastic volatility models with correlated errors

Hacettepe Journal of Mathematics and Statistics, 42(6), 659–669.

By: Z. Kalaylioglu, B. Bozdemir & S. Ghosh

Source: NC State University Libraries
Added: August 6, 2018

2013 journal article

Efficient Sieve Maximum Likelihood Estimation of Time-Transformation Models

Journal of Statistical Theory and Practice, 7(2), 285–303.

By: A. McLain* & S. Ghosh n

Contributors: A. McLain* & S. Ghosh n

author keywords: Censoring; Sieve maximum likelihood; Semiparametric efficiency; Survival analysis; Transformation models
UN Sustainable Development Goal Categories
Sources: ORCID, Crossref, NC State University Libraries
Added: January 24, 2021

2013 journal article

Imputation in High-Dimensional Economic Data as Applied to the Agricultural Resource Management Survey

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 108(501), 81–95.

By: M. Robbins*, S. Ghosh n & J. Habiger*

Contributors: M. Robbins*, S. Ghosh n & J. Habiger*

author keywords: ARMS; Gaussian copula; Imputation; Markov chain Monte Carlo; Missing data
TL;DR: A regression-based technique is proposed that allows for flexibility in the selection of conditional models while providing a valid joint distribution and demonstrates the effectiveness of the proposed algorithm and illustrates the specific deficiencies of existing methods. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2013 chapter

NCSU-CUSP: A Program Making a Difference in Quantitative Sciences

In J. Rychtář, S. Gupta, R. Shivaji, & M. Chhetri (Eds.), Springer Proceedings in Mathematics & Statistics (pp. 7–13).

By: S. Ghosh n

Contributors: S. Ghosh n

Ed(s): J. Rychtář, S. Gupta, R. Shivaji & M. Chhetri

Event: 8th Annual UNCG Regional Mathematics and Statistics Conference

TL;DR: The CSUMS project, NCSU Computation for Undergraduates in Statistics Program (NCSU-CUSP) prepares students to engage in a significant research experience and to be fluent in the languages of computing, mathematics, and statistics. (via Semantic Scholar)
Sources: ORCID, Crossref, NC State University Libraries
Added: January 24, 2021

2013 conference paper

Nonparametric Gaussian Process Models for Censored Longitudinal Data

Presented at the Joint Statistical Meeting, Montreal, Canada.

By: S. Ghosh

Event: Joint Statistical Meeting at Montreal, Canada on August 3-8, 2013

Source: NC State University Libraries
Added: May 4, 2021

2013 report

Nonparametric Models for Longitudinal Data Using Bernstein Polynomial Sieve

(Department of Statistics Technical Report No. 2651). Raleigh, NC: North Carolina State University.

By: L. Wang & S. Ghosh

Source: NC State University Libraries
Added: May 4, 2021

2013 speech

Nonparametric Models for Longitudinal Data Using Bernstein Polynomials

Ghosh, S. (2013, April). Presented at the Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA.

By: S. Ghosh

Event: Department of Epidemiology and Biostatistics, University of South Carolina at Columbia, SC, USA on April 24, 2013

Source: NC State University Libraries
Added: May 4, 2021

2013 conference paper

Nonparametric Models for Longitudinal Data Using Bernstein Polynomials

Ghosh, S. (2013, January 3). Presented at the International Indian Statistical Association Conference, Chennai, India.

By: S. Ghosh

Event: International Indian Statistical Association Conference at Chennai, India on January 3, 2013

Source: NC State University Libraries
Added: May 4, 2021

2013 conference paper

Shape Restricted regression Models: A short course

Presented at the International Indian Statistical Association Conference, Chennai, India.

By: S. Ghosh

Event: International Indian Statistical Association Conference at Chennai, India on January 2-5, 2013

Source: NC State University Libraries
Added: May 4, 2021

2013 journal article

The Least Squares Methods of Estimation using Bernstein Polynomials for Density Estimation

Thailand Statistician, 11, 45–65.

By: P. Thongjaem, S. Ghosh & K. Budsaba

Source: NC State University Libraries
Added: May 4, 2021

2012 conference paper

A Comparative Study of the Estimation of the Maximum Tolerated Dose

Presented at the Joint Statistical Meeting, San Diego, CA, USA.

By: S. Ghosh

Event: Joint Statistical Meeting at San Diego, CA, USA on July 29 - August 3, 2012

Source: NC State University Libraries
Added: May 4, 2021

2012 conference paper

A Flexible Class of Models for Longitudinal Data Subject to Data Irregularities

Presented at the Eighth International Triennial Calcutta Symposium, Kolkata, India.

By: S. Ghosh

Event: Eighth International Triennial Calcutta Symposium at Kolkata, India on December 27-30, 2012

Source: NC State University Libraries
Added: May 4, 2021

2012 journal article

A Model for Overdispersion and Underdispersion using Latent Markov Processes

Thailand Statistician, 10, 183–197.

By: J. Thaithanan, S. Ghosh & C. Bumrungsup

Source: NC State University Libraries
Added: May 4, 2021

2012 conference paper

A Statistician's Journey Through the 'Bayesian' Path

Ghosh, S. (2012, November 3). Presented at the 8th Annual UNCG Regional Mathematics and Statistics Conference, Greensboro, NC.

By: S. Ghosh

Event: 8th Annual UNCG Regional Mathematics and Statistics Conference at Greensboro, NC on November 3, 2012

Source: NC State University Libraries
Added: May 4, 2021

2012 conference paper

Bayesian Average Error Based Approach to Sample Size Calculations for Hypothesis Testing

Presented at the Conference on Contemporary Issues and Applications of Statistics, Kolkata, India.

By: S. Ghosh

Event: Conference on Contemporary Issues and Applications of Statistics at Kolkata, India on January 2-4, 2012

Source: NC State University Libraries
Added: May 4, 2021

2012 conference paper

Nonparametric Bayes Applications in Biostatistics: A Discussion

Presented at the ISBA 2012 World Meeting, Kyoto, Japan.

By: S. Ghosh

Event: ISBA 2012 World Meeting at Kyoto, Japan on June 25-29, 2012

Source: NC State University Libraries
Added: May 4, 2021

2012 conference paper

Novel Statistical Methods for Noninferiority/Equivalence Testing: A Discussion

Presented at the FDA-Industry Statistics Workshop, Washington, D.C., USA.

By: S. Ghosh

Event: FDA-Industry Statistics Workshop at Washington, D.C., USA on September 12-14, 2012

Source: NC State University Libraries
Added: May 4, 2021

2012 report

Shape Restricted Nonparametric Regression Based on Multivariate Bernstein Polynomials

(Department of Statistics Technical Report No. 2640). Raleigh, NC: North Carolina State University.

By: J. Wang & S. Ghosh

Source: NC State University Libraries
Added: May 4, 2021

2012 conference paper

Shape Restricted Regression Models with Applications to Econometrics: A Short Course

Presented at the Bocconi University, Milano, Italy.

By: S. Ghosh

Event: Bocconi University at Milano, Italy on October 1-9, 2012

Source: NC State University Libraries
Added: May 4, 2021

2012 journal article

Shape restricted nonparametric regression with Bernstein polynomials

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 56(9), 2729–2741.

By: J. Wang n & S. Ghosh n

Contributors: J. Wang n & S. Ghosh n

author keywords: Bernstein polynomials; Convex; Monotone; Nonparametric regression; Shape restriction
TL;DR: It is shown that the Bernstein polynomial based regression estimators can be obtained as a solution of a constrained least squares method and hence the estimator can be computed efficiently using a quadratic programming algorithm. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2012 conference paper

Spatio-Temporal Analysis of Total Nitrate Concentrations Using Dynamic Statistical Models

Presented at the TIES, Hyderabad, India.

By: S. Ghosh

Event: TIES at Hyderabad, India on January 4-6, 2012

Source: NC State University Libraries
Added: May 4, 2021

2011 journal article

A Bayesian Approach to Multicollinearity and the Simultaneous Selection and Clustering of Predictors in Linear Regression

Journal of Statistical Theory and Practice, 5(4), 715–735.

By: S. Curtis* & S. Ghosh n

Contributors: S. Curtis* & S. Ghosh n

author keywords: Dirichlet process; Variable selection; Stochastic search
UN Sustainable Development Goal Categories
Sources: ORCID, Crossref, NC State University Libraries
Added: January 24, 2021

2011 journal article

A Comparative Study of Bayes Estimators of Closed Population Size from Capture-Recapture Data

Journal of Statistical Theory and Practice, 5(2), 241–260.

By: R. Gosky* & S. Ghosh n

Contributors: R. Gosky* & S. Ghosh n

author keywords: Bayesian inference; Capture-recapture models; Closed population; Heterogeneity; Gibbs sampling; MCMC; WinBUGS
TL;DR: In the simulation conditions, the most robust model in estimating N is found to be the model with behavioral and time effects, which is fit to data sets generated under each of the eight model assumptions, allowing assessment of model robustness. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (Web of Science)
Sources: ORCID, Crossref, NC State University Libraries
Added: January 24, 2021

2011 journal article

A flexible class of models for data arising from a 'thorough QT/QTc study'

PHARMACEUTICAL STATISTICS, 10(2), 122–127.

By: S. Anand n & S. Ghosh n

Contributors: S. Anand n & S. Ghosh n

author keywords: Bayesian model selection; DIC; ICH E14; MCMC; QT/QTc; thorough QT/QTc study
MeSH headings : Bayes Theorem; Data Interpretation, Statistical; Electrocardiography; Humans; Models, Statistical; Multivariate Analysis
TL;DR: A flexible class of parametric models is proposed to address the limitations of the currently used models and superior performance of the proposed models over the current models is illustrated through a real dataset obtained from a GlaxoSmithKline conducted ‘thorough QT/QTc study’. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2011 journal article

A variable selection approach to monotonic regression with Bernstein polynomials

JOURNAL OF APPLIED STATISTICS, 38(5), 961–976.

By: S. Curtis* & S. Ghosh n

Contributors: S. Curtis* & S. Ghosh n

author keywords: Markov chain Monte Carlo; shape-restricted inference; stochastic search; nonparametric regression; Gibbs sampling; generalized linear models
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2011 journal article

Bayesian Analysis of Circular Data Using Wrapped Distributions

Journal of Statistical Theory and Practice, 5(4), 547–561.

By: P. Ravindran* & S. Ghosh n

Contributors: P. Ravindran* & S. Ghosh n

author keywords: Bayesian inference; Markov chain Monte Carlo (MCMC); Wrapped Cauchy; Wrapped Double Exponential; Wrapped Normal
Sources: ORCID, Crossref, NC State University Libraries
Added: January 24, 2021

2011 conference paper

Bayesian Meta Analysis for Comparative Effectiveness Research

Ghosh, S. (2011, August 21). Presented at the 32nd Annual Conference of the International Society for Clinical Biostatistics, Ottawa, Canada.

By: S. Ghosh

Event: 32nd Annual Conference of the International Society for Clinical Biostatistics at Ottawa, Canada on August 21-25, 2011

Source: NC State University Libraries
Added: May 4, 2021

2011 speech

Bayesian Methods for Non-inferiority Tests and Sample Size Determination

Ghosh, S. (2011, November). Presented at the Biopharmaceutical Section of ASA Web-based Training Series.

By: S. Ghosh

Event: Biopharmaceutical Section of ASA Web-based Training Series on November 18, 2011

Source: NC State University Libraries
Added: May 4, 2021

2011 speech

Bayesian Methods: Theory & Applications

Bayesian Methods: Theory & Applications. Presented at the Short Course at United Network of Organ Sharing, Richmond, VA.

By: S. Ghosh

Event: Short Course at United Network of Organ Sharing at Richmond, VA on October 13-14, 2011

Source: NC State University Libraries
Added: May 4, 2021

2011 journal article

EMPIRICAL ANALYSIS OF CLIMATE CHANGE IMPACT ON LOBLOLLY PINE PLANTATIONS IN THE SOUTHERN UNITED STATES

NATURAL RESOURCE MODELING, 24(4), 445–476.

By: J. Huang*, B. Abt n, G. Kindermann* & S. Ghosh n

Contributors: J. Huang*, B. Abt n, G. Kindermann* & S. Ghosh n

author keywords: Managed forests; loblolly pine; climate change; forest growth; site productivity; southern United States
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science; OpenAlex)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2011 journal article

Economic implications of imputation in agricultural economic data: Discussion

American Journal of Agricultural Economics, 93(2), 627–628.

By: S. Ghosh n

Contributors: S. Ghosh n

UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Source: ORCID
Added: January 24, 2021

2011 speech

High-dimensional Multivariate Imputation Methods for ARMS Data

Ghosh, S. (2011, March). Presented at the Department of Statistics, Iowa State University, Ames, IA.

By: S. Ghosh

Event: Department of Statistics, Iowa State University at Ames, IA on March 21, 2011

Source: NC State University Libraries
Added: May 4, 2021

2011 conference paper

Meta Analysis and Multiple Testing

Ghosh, S. (2011, June 17). Presented at the NISS Workshop on Difficulties with Observational Medical Studies, Research Triangle Park, NC.

By: S. Ghosh

Event: NISS Workshop on Difficulties with Observational Medical Studies at Research Triangle Park, NC on June 17, 2011

Source: NC State University Libraries
Added: May 4, 2021

2011 journal article

Modeling yield risk under technological change: Dynamic yield distributions and the U.S. Crop insurance program

Journal of Agricultural and Resource Economics, 36(1), 192–210. http://www.scopus.com/inward/record.url?eid=2-s2.0-79958174389&partnerID=MN8TOARS

By: Y. Zhu, B. Goodwin & S. Ghosh

Contributors: Y. Zhu, B. Goodwin & S. Ghosh

Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2011 journal article

Modelling semi-continuous data using mixture regression models with an application to cattle production yields

The Journal of Agricultural Science, 150(1), 109–121.

By: E. Belasco* & S. Ghosh n

Contributors: E. Belasco* & S. Ghosh n

UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: ORCID, NC State University Libraries, Crossref, NC State University Libraries
Added: August 6, 2018

2011 journal article

Nonparametric estimation of the conditional mean residual life function with censored data

LIFETIME DATA ANALYSIS, 17(4), 514–532.

By: A. McLain* & S. Ghosh n

Contributors: A. McLain* & S. Ghosh n

author keywords: Covariates; Local averaging; Mean residual life; Right censoring; Smoothing
MeSH headings : Computer Simulation; Data Interpretation, Statistical; Humans; Lung Neoplasms / mortality; Models, Statistical; Monte Carlo Method; Survival Analysis
TL;DR: Using Monte Carlo simulations, the proposed nonparametric estimators are compared to two popular semi-parametric methods of analysis, for varying types of data and asymptotic properties such as consistency and normality are established. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2011 journal article

Nonparametric regression models for right-censored data using Bernstein polynomials

Computational Statistics & Data Analysis, 56(3), 559–573.

By: M. Osman n & S. Ghosh n

Contributors: M. Osman n & S. Ghosh n

author keywords: Bernstein polynomials; Censored data; Nonparametric regression; Nonproportional hazards; Sieve
TL;DR: A new nonparametric regression model for the conditional hazard rate using a suitable sieve of Bernstein polynomials is presented and empirical results indicate that the proposed model has reasonably robust performance compared to other semiparametric models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: ORCID, NC State University Libraries, Crossref, NC State University Libraries
Added: August 6, 2018

2011 speech

Regional Analysis on the Effects of Environmental Stressors on Health Related Incidents

Ghosh, S. (2011, June). Presented at the Centers for Disease Control and Prevention, Hyattsville, MD.

By: S. Ghosh

Event: Centers for Disease Control and Prevention at Hyattsville, MD on June 6, 2011

Source: NC State University Libraries
Added: May 4, 2021

2011 journal article

SEMIPARAMETRIC BAYESIAN TESTING PROCEDURE FOR NONINFERIORITY TRIALS WITH BINARY ENDPOINTS

JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 21(5), 920–937.

By: M. Osman n & S. Ghosh n

Contributors: M. Osman n & S. Ghosh n

author keywords: Bayes factor; Bernstein polynomials; Mixture prior; Noninferiority
MeSH headings : Age Factors; Anti-Bacterial Agents / therapeutic use; Bayes Theorem; Bias; Clarithromycin / therapeutic use; Clinical Trials as Topic / methods; Clinical Trials as Topic / statistics & numerical data; Clinical Trials, Phase IV as Topic / methods; Clinical Trials, Phase IV as Topic / statistics & numerical data; Computer Simulation / statistics & numerical data; Computer Simulation / trends; Erythromycin / therapeutic use; Humans; Macrolides / therapeutic use; Models, Statistical; Monte Carlo Method; Pharyngitis / drug therapy; Probability; Research Design / statistics & numerical data; Research Design / trends; Streptococcus / drug effects; Treatment Outcome
TL;DR: Through several simulation studies it is demonstrated that the proposed Bayesian procedure has competitive frequentist properties of controlling type I error as compared to the default frequentist test and meanwhile the proposed criterion improves the statistical power, especially in small samples. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2011 conference paper

Shape Restricted Nonparametric Regression For Econometric Models

Presented at the 2nd International IIMA Conference, Ahmedabad, India.

By: S. Ghosh

Event: 2nd International IIMA Conference at Ahmedabad, India on January 8-10, 2011

Source: NC State University Libraries
Added: May 4, 2021

2011 conference paper

Smooth Density Estimation Under Moment Constraint

Presented at the International Conference in Mathematics and Applications, Bangkok, Thailand.

By: S. Ghosh

Event: International Conference in Mathematics and Applications at Bangkok, Thailand on December 17-19, 2011

Source: NC State University Libraries
Added: May 4, 2021

2011 journal article

Smooth density estimation with moment constraints using mixture distributions

JOURNAL OF NONPARAMETRIC STATISTICS, 23(2), 513–531.

By: A. Eloyan n & S. Ghosh n

Contributors: A. Eloyan n & S. Ghosh n

author keywords: bandwidth selection; EM-algorithm; estimation of mixture complexity; kernel density estimation; Kullback-Leibler divergence
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2011 conference paper

Some of Your Data are Imputed. What Should You Do?

Presented at the Joint Annual Meeting of the Agricultural & Applied Economics Association, Pittsburgh, PA.

By: S. Ghosh

Event: Joint Annual Meeting of the Agricultural & Applied Economics Association at Pittsburgh, PA on July 23-26, 2011

Source: NC State University Libraries
Added: May 4, 2021

2010 conference paper

A Bayesian Approach to Assessing the Risk of QT Prolongation

Ghosh, S. (2010, January 3). Presented at the International Conference on Statistics, Probability, Operation Research, Computer Science and Allied Areas, Vizag, India.

By: S. Ghosh

Event: International Conference on Statistics, Probability, Operation Research, Computer Science and Allied Areas at Vizag, India on January 3-8, 2010

Source: NC State University Libraries
Added: June 14, 2021

2010 conference paper

Adaptive Bayesian Methods for Non-Inferiority Tests

Ghosh, S. (2010, January 23). Presented at the Bayesian Biostatistics Conference, Houston, TX.

By: S. Ghosh

Event: Bayesian Biostatistics Conference at Houston, TX on January 23-24, 2010

Source: NC State University Libraries
Added: June 14, 2021

2010 conference paper

An Assessment of Imputation Methods for the USDA's Agricultural Resource Management Survey

Proceedings of the Joint Statistical Meetings. Presented at the Joint Statistical Meetings, Vancouver, British Columbia, Canada.

By: J. Habiger, M. Robbins & S. Ghosh

Event: Joint Statistical Meetings at Vancouver, British Columbia, Canada on July 31 - August 5, 2010

Source: NC State University Libraries
Added: May 4, 2021

2010 conference paper

Application of MOS to Improve Coastal Wind Forecasting

Ghosh, S. (2010, January 19). Presented at the SINO-U.S.Training Workshop on Numerical Ocean Prediction, Raleigh, NC.

By: S. Ghosh

Event: SINO-U.S.Training Workshop on Numerical Ocean Prediction at Raleigh, NC on January 19-20, 2010

Source: NC State University Libraries
Added: June 14, 2021

2010 journal article

Basics of Bayesian methods.

Methods in Molecular Biology (Clifton, N.J.), 620, 155–178.

By: S. Ghosh n

Contributors: S. Ghosh n

author keywords: Bayesian inference; hierarchical models; likelihood function; Monte Carlo methods; posterior distribution; prior distribution
MeSH headings : Bayes Theorem; Humans; Monte Carlo Method
TL;DR: The goals of this chapter are to bridge the gap between the background of the empirically trained scientists and the full weight of Bayesian statistical inference by offering elementary to advanced concepts that emphasize linkages between standard approaches and full probability modeling via Bayesian methods. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: ORCID
Added: January 24, 2021

2010 conference paper

Bayesian Methods in Clinical Trials

Presented at the Biostatistics Workshop, Hyderabad, India.

By: S. Ghosh

Event: Biostatistics Workshop at Hyderabad, India on December 14-16, 2010

Source: NC State University Libraries
Added: June 14, 2021

2010 conference paper

Bayesian Shape Restricted Regression with Multivariate Bernstein Polynomials

Ghosh, S. (2010, April 30). Presented at the Seminar on Bayesian Inference in Econometrics and Statistics (SBIES), Austin, TX.

By: S. Ghosh

Event: Seminar on Bayesian Inference in Econometrics and Statistics (SBIES) at Austin, TX on April 30 - May 2, 2010

Source: NC State University Libraries
Added: June 14, 2021

2010 conference paper

Bayesian Shape Restricted Regression with Multivariate Bernstein Polynomials

Ghosh, S. (2010, June 3). Presented at the International Society of Bayesian Analysis (ISBA) World Meeting, Benidorm, Spain.

By: S. Ghosh

Event: International Society of Bayesian Analysis (ISBA) World Meeting at Benidorm, Spain on June 3-8, 2010

Source: NC State University Libraries
Added: June 14, 2021

2010 conference paper

Economic Implications of Imputation in Agricultural Economic Data: A Discussion

Ghosh, S. (2010, July 25). Presented at the Joint Annual Meeting of the Agricultural & Applied Economics Association, Denver, CO.

By: S. Ghosh

Event: Joint Annual Meeting of the Agricultural & Applied Economics Association at Denver, CO on July 25-27, 2010

Source: NC State University Libraries
Added: June 14, 2021

2010 journal article

Forecasting the Stock Exchange Rate of Thailand Index by Conditional Heteroscedastic Autoregressive Nonlinear Model with Autocorrelated Errors'

Thailand Statistician, 8, 109–122.

By: A. Araveeporn, S. Ghosh & K. Budsaba

Source: NC State University Libraries
Added: June 14, 2021

2010 conference paper

Innovative Imputation Techniques Designed for the Agricultural Resource Management Survey

Proceedings of the Joint Statistical Meetings. Presented at the Joint Statistical Meetings, Vancouver, British Columbia, Canada.

By: M. Robbins, S. Ghosh & J. Habiger

Event: Joint Statistical Meetings at Vancouver, British Columbia, Canada on July 31 - August 5, 2010

Source: NC State University Libraries
Added: May 4, 2021

2010 journal article

Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models

BIOMETRICS, 66(4), 1069–1077.

By: H. Bondell n, A. Krishna n & S. Ghosh n

Contributors: H. Bondell n, A. Krishna n & S. Ghosh n

author keywords: Adaptive LASSO; Constrained EM algorithm; Linear mixed model; Modified Cholesky decomposition; Penalized likelihood; Variable selection
MeSH headings : Algorithms; Biometry / methods; Computer Simulation; Humans; Likelihood Functions; Linear Models; Models, Statistical
TL;DR: This method is based on a penalized joint log likelihood with an adaptive penalty for the selection and estimation of both the fixed and random effects and enjoys the Oracle property, in that, asymptotically it performs as well as if the true model was known beforehand. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2010 journal article

Maximum Likelihood Estimation and Unit Root Test for First Order Random Coefficient AutoRegressive Models

Journal of Statistical Theory and Practice, 4(2), 261–278.

By: D. Wang*, S. Ghosh n & S. Pantula n

author keywords: Ergodicity; Hypothesis testing; Strict stationarity; Time series
UN Sustainable Development Goal Categories
Sources: Crossref, NC State University Libraries
Added: January 24, 2021

2010 journal article

Maximum likelihood estimation for directional conditionally autoregressive models

JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 140(11), 3160–3179.

By: M. Kyung & S. Ghosh*

Contributors: M. Kyung & S. Ghosh*

author keywords: Anisotropy; Conditionally autoregressive models; Lattice data; Maximum likelihood estimation; Spatial analysis
TL;DR: A new class of spatial models is proposed using different weights given to neighbors in different directions to accommodate directional spatial variation, which generalizes the usual CAR model by accounting for spatial anisotropy. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2010 conference paper

Multivariate Imputation Methods for Agricultural Resource Management Survey (ARMS) Data

Ghosh, S. (2010, July 31). Presented at the Joint Statistical Meetings, Vancouver, Canada.

By: S. Ghosh

Event: Joint Statistical Meetings at Vancouver, Canada on July 31 - August 5, 2010

Source: NC State University Libraries
Added: June 14, 2021

2010 conference paper

Multivariate Shape Restricted Nonparametric Regression with Bernstein Polynomials

Ghosh, S. (2010, December 3). Presented at the Triangle Econometrics Conference, National Institute of Statistical Sciences (NISS), Research Triangle Park, NC.

By: S. Ghosh

Event: Triangle Econometrics Conference, National Institute of Statistical Sciences (NISS) at Research Triangle Park, NC on December 3, 2010

Source: NC State University Libraries
Added: June 14, 2021

2010 conference paper

Nonlinear Mixed Models Involving ODEs

Ghosh, S. (2010, July 12). Presented at the SAMSI Program on Semiparametric Bayesian Inference Applications in Pharmacokinetics and Pharmacodynamics, Research Triangle Park, NC.

By: S. Ghosh

Event: SAMSI Program on Semiparametric Bayesian Inference Applications in Pharmacokinetics and Pharmacodynamics at Research Triangle Park, NC on July 12-15, 2010

Source: NC State University Libraries
Added: June 14, 2021

2010 journal article

Novel Bayesian Methods for Non-Inferiority Tests Based on Relative Risk and Odds Ratio for Dichotomous Data

Journal of Statistical Theory and Practice, 4(3), 433–452.

By: M. Osman n & S. Ghosh n

author keywords: Bayes factor; Non-inferiority; Odds ratio; Posterior probability; Relative risk
UN Sustainable Development Goal Categories
Sources: Crossref, NC State University Libraries
Added: January 24, 2021

2010 journal article

Spatio-Temporal Analysis of Total Nitrate Concentrations Using Dynamic Statistical Models

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 105(490), 538–551.

By: S. Ghosh*, P. Bhave*, J. Davis* & H. Lee*

Contributors: S. Ghosh*, P. Bhave*, J. Davis* & H. Lee*

author keywords: Chemical production; Deposition; Dynamic linear models; Nitrate aerosol; Spatial models
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2010 conference paper

Spatio-Temporal Analysis of Total Nitrate Concentrations Using Dynamic Statistical Models

Ghosh, S. (2010, January 22). Presented at the SAMSI Working Group Meeting, Research Triangle Park, NC.

By: S. Ghosh

Event: SAMSI Working Group Meeting at Research Triangle Park, NC on January 22, 2010

Source: NC State University Libraries
Added: June 14, 2021

2010 journal article

Statistical Inference for Nonlinear Models Involving Ordinary Differential Equations

Journal of Statistical Theory and Practice, 4(4), 727–742.

By: S. Ghosh n & L. Goyal*

author keywords: Bayesian inference; Ordinary differential equations; MCMC; Non-linear models; Splines
TL;DR: Two new methods based on Euler’s approximation are proposed to obtain an approximate likelihood that is analytically tractable and thus making parameter estimation computationally less demanding than other competing methods. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: May 4, 2021

2010 conference paper

Statistical Methodologies for Conducting Comparative E ectiveness Research

Ghosh, S. (2010, October 6). Presented at the GlaxoSmithKline Biostatistics Annual Conference, Research Triangle Park, NC.

By: S. Ghosh

Event: GlaxoSmithKline Biostatistics Annual Conference at Research Triangle Park, NC on October 6-7, 2010

Source: NC State University Libraries
Added: June 14, 2021

2009 journal article

A Bayesian Approach for Investigating the Risk of QT Prolongation

Journal of Statistical Theory and Practice, 3(2), 445–454.

By: S. Anand n & S. Ghosh n

author keywords: Bayesian inference; ICH E14; Monte Carlo simulation; QT/QTc interval; Thorough QT/QTc study
TL;DR: This paper uses simulated data to assess the performance of the proposed Bayesian approach to resolving the problem using a Monte Carlo simulation method, and illustrates the method by applying it to a real data set obtained from a thorough QT study conducted at GlaxoSmithKline. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: January 28, 2021

2009 conference paper

A Bayesian Semiparametric Accelerated Failure Time Cure Model for Censored Data

Presented at the Joint Statistical Meetings.

By: E. Krachey, S. Ghosh & W. Lu

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 14, 2021

2009 conference paper

A Novel Bayesian Approach to Assessing the Risk of QT Prolongation

Ghosh, S. (2009, May 10). Presented at the 5th Conference of the Eastern Mediterranean Region of the International Biometric Society, Istanbul, Turkey.

By: S. Ghosh

Event: 5th Conference of the Eastern Mediterranean Region of the International Biometric Society at Istanbul, Turkey on May 10-14, 2009

Source: NC State University Libraries
Added: June 14, 2021

2009 conference paper

A Variable Selection Approach to Bayesian Monotonic Regression with Bernstein Polynomials

Presented at the Joint Statistical Meetings.

By: S. Curtis & S. Ghosh

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 14, 2021

2009 conference paper

A Variable Selection Approach to Bayesian Monotonic Regression with Bernstein Polynomials

Ghosh, S. (2009, December 28). Presented at the Seventh International Triennial Calcutta Symposium, Kolkata, India.

By: S. Ghosh

Event: Seventh International Triennial Calcutta Symposium at Kolkata, India on December 28-31, 2009

Source: NC State University Libraries
Added: June 14, 2021

2009 speech

A Variable Selection Approach to Bayesian Monotonic Regression with Bernstein Polynomials

Ghosh, S. (2009, May). Presented at the Department of Statistics, Middle East Technical University, Ankara, Turkey.

By: S. Ghosh

Event: Department of Statistics, Middle East Technical University at Ankara, Turkey on May 19, 2009

Source: NC State University Libraries
Added: June 14, 2021

2009 conference paper

A Variable Selection Approach to Bayesian Monotonic Regression with Bernstien Polynomials

Ghosh, S. (2009, May 1). Presented at the Seminar Bayesian Inference in Econometrics and Statistics, Washington University, St. Louis, MO.

By: S. Ghosh

Event: Seminar Bayesian Inference in Econometrics and Statistics at Washington University, St. Louis, MO on May 1-2, 2009

Source: NC State University Libraries
Added: June 14, 2021

2009 speech

A Variable Selection Approach to Monotonic Regression with Bernstein Polynomials

Ghosh, S. (2009, November). Presented at the Department of Statistics, University of Missouri, Columbia, MO.

By: S. Ghosh

Event: Department of Statistics, University of Missouri at Columbia, MO on November 11, 2009

Source: NC State University Libraries
Added: June 14, 2021

2009 journal article

A comparative study of Bayesian model selection criteria for capture-recapture models for closed populations

Journal of Modern Applied Statistical Methods, 8(1), 68–80. http://www.scopus.com/inward/record.url?eid=2-s2.0-78650799398&partnerID=MN8TOARS

By: R. Gosky & S. Ghosh

Contributors: R. Gosky & S. Ghosh

Source: ORCID
Added: January 24, 2021

2009 journal article

A multivariate evaluation of Ex ante risks associated with fed cattle production

American Journal of Agricultural Economics, 91(2), 431–443.

By: E. Belasco*, S. Ghosh* & B. Goodwin n

Contributors: E. Belasco*, S. Ghosh* & B. Goodwin n

author keywords: heteroskedastic multivariate Tobit; livestock yields; production risk
Source: ORCID
Added: January 24, 2021

2009 journal article

A stochastic neighborhood conditional autoregressive model for spatial data

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 53(8), 3033–3046.

By: G. White n & S. Ghosh n

Contributors: G. White n & S. Ghosh n

TL;DR: An extension of CAR model where the selection of the neighborhood depends on unknown parameter(s) is proposed, called a Stochastic Neighborhood CAR (SNCAR) model, which shows flexibility in accurately estimating covariance structures for data generated from a variety of spatial covariance models. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2009 journal article

An autoregressive point source model for spatial processes

ENVIRONMETRICS, 20(5), 575–594.

By: J. Hughes-Oliver n, T. Heo* & S. Ghosh n

Contributors: J. Hughes-Oliver n, T. Heo* & S. Ghosh n

author keywords: Bayesian inference; correlation nonstationarity; heterogeneity; hierarchical model; random effect; variance nonstationarity
TL;DR: Application is made to a real dataset on electric potential measurements in a field containing a metal pole and the finding is that the approach captures the pole's impact on small‐scale variability of the electric potential process. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2009 conference paper

Bayesian Analysis in R

Ghosh, S. (2009, July 26). Presented at the Joint Annual Meeting of the Agricultural & Applied Economics Association, Milwaukee, WI.

By: S. Ghosh

Event: Joint Annual Meeting of the Agricultural & Applied Economics Association at Milwaukee, WI on July 26-28, 2009

Source: NC State University Libraries
Added: June 14, 2021

2009 conference paper

Bayesian Independent Component Analysis Using Mixture Priors

Presented at the Joint Statistical Meetings.

By: A. Eloyan & S. Ghosh

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 14, 2021

2009 journal article

Bayesian Inference for Directional Conditionally Autoregressive Models

BAYESIAN ANALYSIS, 4(4), 675–705.

By: M. Kyung* & S. Ghosh n

author keywords: Anisotropy; Bayesian estimation; Conditionally autoregressive models; Lattice data; Spatial analysis
TL;DR: A new class of models is developed using spatial variations that may depend on directions to accommodate spatial variations given to neighbors in difierent directions, which generalizes the usual CAR model that assigns equal weight to all directions. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2009 journal article

Bayesian Regression Models for the Quality Adjusted Lifetime Data with Zero Time Duration Health States

Journal of Statistical Theory and Practice, 3(2), 477–487.

By: K. Mishra n & S. Ghosh n

author keywords: Bayesian inference; Data augmentation; Markov chain Monte Carlo; Quality adjusted survival; TWiST
TL;DR: A Bayesian regression approach to the modeling of censored QAL data is presented based on a progressive health state model with a data augmentation scheme which provides a nonzero probability to the zero time spent in any health state. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: January 28, 2021

2009 journal article

Bayesian unit-root tests for Stochastic Volatility models

Statistical Methodology, 6(2), 189–201.

By: Z. Kalaylıoğlu* & S. Ghosh n

Contributors: Z. Kalaylioǧlu & S. Ghosh n

TL;DR: This article considers Bayesian inference procedures to test for a unit root in Stochastic Volatility (SV) models and proposes a flexible class of priors that is non-informative over the entire support of the persistence parameter. (via Semantic Scholar)
Sources: ORCID, Crossref, NC State University Libraries
Added: January 24, 2021

2009 journal article

Bayesian variable selection using an adaptive powered correlation prior

JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 139(8), 2665–2674.

By: A. Krishna n, H. Bondell n & S. Ghosh n

Contributors: A. Krishna n, H. Bondell n & S. Ghosh n

author keywords: Bayesian variable selection; Collinearity; Powered correlation prior; Zellner's g-prior
TL;DR: An extension of the Zellner's prior is proposed in this article which allow for a power parameter on the empirical covariance of the predictors which helps control the degree to which correlated predictors are smoothed towards or away from one another. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2009 conference paper

Best applied practices for analysis of agricultural economics problems using Bayesian inferential techniques

Ghosh, S. (2009, July 26). Presented at the Joint Annual Meeting of the Agricultural & Applied Economics Association, Milwaukee, WI.

By: S. Ghosh

Event: Joint Annual Meeting of the Agricultural & Applied Economics Association at Milwaukee, WI on July 26-28, 2009

Source: NC State University Libraries
Added: June 14, 2021

2009 journal article

Daily Activity Patterns of University Students

JOURNAL OF URBAN PLANNING AND DEVELOPMENT, 135(4), 141–149.

By: J. Eom n, J. Stone n & S. Ghosh n

Contributors: J. Eom n, J. Stone n & S. Ghosh n

UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2009 conference paper

Dynamic Pricing the Revenue Insurance Contracts: A Time-Varying Copula Model

Presented at the Joint Statistical Meetings.

By: Y. Zhu, S. Ghosh & B. Goodwin

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 14, 2021

2009 journal article

Estimation of SCRAM Rate Trends in Nuclear Power Plants Using Hierarchical Bayes Models

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 38(16-17), 2856–2871.

By: K. Mishra n & S. Ghosh n

Contributors: K. Mishra n & S. Ghosh n

author keywords: Bayesian inference; Markov Chain Monte Carlo (MCMC); Scram; Zero-inflated model
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2009 conference paper

Guiding Young Professionals to Be Successful in Government, Academia, and Industries

Ghosh, S. (2009, August 2). Presented at the Joint Statistical Meetings, Washington, DC.

By: S. Ghosh

Event: Joint Statistical Meetings at Washington, DC on August 2-6, 2009

Source: NC State University Libraries
Added: June 14, 2021

2009 journal article

Hydrogen bonding and packing density are factors most strongly connected to limiting sites of high flexibility in the 16S rRNA in the 30S ribosome

BMC Structural Biology, 9.

By: W. Huggins n, S. Ghosh n & P. Wollenzien n

Contributors: W. Huggins n, S. Ghosh n & P. Wollenzien n

MeSH headings : Binding Sites; Hydrogen Bonding; Photochemistry; Protein Binding; Protein Structure, Tertiary; RNA, Ribosomal, 16S / chemistry; Ribosome Subunits, Small, Bacterial / chemistry; Ultraviolet Rays
Sources: ORCID, NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2009 conference paper

Joint Variable Selection of Fixed and Random E ects in a Linear Mixed-E ects Model and its Oracle Properties

Presented at the Joint Statistical Meetings.

By: A. Krishna, H. Bondell & S. Ghosh

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 14, 2021

2009 journal article

Nonparametric autocovariance estimation from censored time series by Gaussian imputation

JOURNAL OF NONPARAMETRIC STATISTICS, 21(2), 241–259.

By: J. Park*, M. Genton* & S. Ghosh n

Contributors: J. Park*, M. Genton* & S. Ghosh n

author keywords: censoring; Gibbs sampling; imputation; nonparametric estimation; truncated multivariate normal distribution
TL;DR: A Gaussian imputation method to estimate an autocovariance structure via nonparametric estimation of the autocvariance function in order to address both censoring and incorrect model specification is developed. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2009 journal article

Performance of information criteria for spatial models

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 79(1), 93–106.

By: H. Lee & S. Ghosh n

Contributors: H. Lee & S. Ghosh n

author keywords: Model selection; Spatial models; Information criteria
TL;DR: This article compares the performance of some of the most popular information criteria such as Akaike information criterion (AIC), Bayesian information criterion, and corrected AIC in selecting the true model using various spatial covariance models ranging from stationary isotropic to nonstationary models. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2009 journal article

Public investment and industry incentives in life-science research

American Journal of Agricultural Economics, 91(2), 431–443.

By: E. Belasco, S. Ghosh & B. Goodwin

Source: NC State University Libraries
Added: August 6, 2018

2009 conference paper

Semi-parametric Bayesian Approach for Testing Non-inferiority Using Relative Risk and Odds Ratio for Binary Data

Presented at the Joint Statistical Meetings.

By: M. Osman & S. Ghosh

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 14, 2021

2009 conference paper

Semiparametric Inference Based on a Class of Zero-Altered Distributions

Ghosh, S. (2009, December 17). Presented at the International Conference in Mathematics and Applications, Bangkok, Thailand.

By: S. Ghosh

Event: International Conference in Mathematics and Applications at Bangkok, Thailand on December 17-19, 2009

Source: NC State University Libraries
Added: June 14, 2021

2008 conference paper

A Class of Kernel-based CAR Models for Spatial Data

Ghosh, S. (2008, January 2). Presented at the International Conference on Statistical Paradigms, Indian Statistical Institute, Kolkata, India.

By: S. Ghosh

Event: International Conference on Statistical Paradigms at Indian Statistical Institute, Kolkata, India on January 2, 2008

Source: NC State University Libraries
Added: June 15, 2021

2008 conference paper

A Flexible Class of Models for Data Arising from a `Thorough QT/QTc Study,'

Presented at the Joint Statistical Meetings.

By: S. Anand & S. Ghosh

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 14, 2021

2008 conference paper

A Nonparametric Model of Quality Adjusted Lifetime Data Analysis with Zero Duration Health States

Presented at the Joint Statistical Meetings.

By: K. Mishra & S. Ghosh

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 14, 2021

2008 journal article

A Reparametrization Approach for Dynamic Space-Time Models

Journal of Statistical Theory and Practice, 2(1), 1–14.

By: H. Lee & S. Ghosh n

author keywords: Computational efficiency; Dynamic models; Reparametrization; Spatial models
TL;DR: A novel reparametrization approach to fit dynamic space-time models which allows the use of a very general form for the spatial covariance function which is able to implement a very high dimensional covariance matrix that automatically maintains the positive definiteness constraint. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
15. Life on Land (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: January 28, 2021

2008 magazine article

A Statistician Goes to the XXIX Olympics

Ghosh, S. K. (2008, November). AmStat News, 29.

By: S. Ghosh

Source: NC State University Libraries
Added: June 14, 2021

2008 conference paper

A Stochastic Neighborhood Conditional Auto-Regressive Model for Spatial Data

Presented at the Joint Statistical Meetings.

By: G. White & S. Ghosh

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 14, 2021

2008 journal article

A comparative study of Gaussian geostatistical models and Gaussian Markov random field models

JOURNAL OF MULTIVARIATE ANALYSIS, 99(8), 1681–1697.

By: H. Song*, M. Fuentes n & S. Ghosh n

Contributors: H. Song*, M. Fuentes n & S. Ghosh n

TL;DR: Two new metrics of approximation are proposed: the Kullback-Leibler discrepancy of spectral densities and the chi-squared distance between spectral densITIES, which are minimized to obtain the approximations of GGMs and GMRFs. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2008 journal article

Bayesian Analysis of Change-Point Hazard Rate Problem

Journal of Statistical Theory and Practice, 2(4), 523–533.

By: S. Ghosh n & N. Ebrahimi*

author keywords: Bayesian inference; Gibbs sampling; Hazard rates; Posterior inference; Weibull models
UN Sustainable Development Goal Categories
13. Climate Action (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: January 28, 2021

2008 speech

Bayesian Biostatistics: one-day workshop

Ghosh, S. (2008, January). Presented at the Indian Association for Statistics in Clinical trials, GlaxoSmithKline, Bangalore, India.

By: S. Ghosh

Event: Indian Association for Statistics in Clinical trials at GlaxoSmithKline, Bangalore, India on January 7, 2008

Source: NC State University Libraries
Added: June 14, 2021

2008 report

Bayesian Catch Curve Analysis

(Institute of Statistics Mimeograph No. 2615). Raleigh, NC: North Carolina State University.

By: E. Grith, S. Ghosh, K. Pollock & M. Seider

Source: NC State University Libraries
Added: June 14, 2021

2008 speech

Bayesian Inference for Data Assimilation: a short course

Ghosh, S. (2008, June). Presented at the Technical University of Crete, Chania, Greece.

By: S. Ghosh

Event: Technical University of Crete at Chania, Greece on June 9-13, 2008

Source: NC State University Libraries
Added: June 14, 2021

2008 journal article

Bayesian estimation and unit root tests for random coefficient autoregressive models

Model Assisted Statistics and Applications, 3(4), 281–295. http://www.scopus.com/inward/record.url?eid=2-s2.0-57549107477&partnerID=MN8TOARS

By: D. Wang & S. Ghosh

Contributors: D. Wang & S. Ghosh

Source: ORCID
Added: January 24, 2021

2008 journal article

Bayesian spatial modeling of data from unit-count surveys of fish in streams

TRANSACTIONS OF THE AMERICAN FISHERIES SOCIETY, 137(2), 438–453.

By: R. Wibster, K. Pollock n, S. Ghosh n & D. Hankin*

Contributors: R. Webster n, K. Pollock n, S. Ghosh n & D. Hankin*

TL;DR: A framework for spatial modeling of data from surveys of stream-dwelling fish species in which repeated counts are made of animals within a sample of habitat units is described and conditional autoregressive models are proposed for modeling the spatial dependence of density across the habitat units of the stream. (via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water (OpenAlex)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2008 conference paper

Effects of Missing and Censored Data for Nonlinear Models Involving ODEs

Presented at the Joint Statistical Meetings.

By: S. Ghosh & H. Ouyang

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 14, 2021

2008 journal article

Impact of source reduction on the spatial distribution of larvae and pupae of Aedes albopictus (Diptera : Culicidae) in suburban neighborhoods of a Piedmont community in North Carolina

JOURNAL OF MEDICAL ENTOMOLOGY, 45(4), 617–628.

By: S. Richards n, S. Ghosh*, B. Zeichner & C. Apperson*

Contributors: S. Richards n, S. Ghosh*, B. Zeichner & C. Apperson*

author keywords: Aedes albopictus; spatial analysis; geographic information systems; mosquito production; source reduction
TL;DR: Spatial analyses based on the presence or absence of larvae and pupae showed that mosquito production was randomly distributed among residences in both control and source reduction neighborhoods, showing that Ae. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2008 conference paper

Modeling Dependence in the Design of Crop Insurance Contract: A Semiparametric Copula Model Approach

Presented at the Joint Statistical Meetings.

By: Y. Zhu, S. Ghosh & B. Goodwin

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 14, 2021

2008 journal article

Multimodel ensembles of streamflow forecasts: Role of predictor state in developing optimal combinations

Water Resources Research, 44(9).

By: N. Devineni n, A. Sankarasubramanian n & S. Ghosh n

Contributors: N. Devineni n, A. Sankarasubramanian n & S. Ghosh n

TL;DR: Contingency analyses on categorical forecasts show that the proposed multimodel combination technique reduces average Brier score and total number of false alarms, resulting in improved reliability of forecasts, and adding climatological ensembles improves the multimodels performance resulting in reduced average RPS. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: August 6, 2018

2008 report

Regression Analysis of Mean Residual Life Function

(Institute of Statistics Mimeograph No. 2613). Raleigh, NC: North Carolina State University.

By: S. Liu & S. Ghosh

Source: NC State University Libraries
Added: June 14, 2021

2008 conference paper

Semiparametric Inference Based on a Class of Zero-altered Distributions

Ghosh, S. (2008, July 7). Presented at the International Workshop on Applied Probability, Universit de Technologie de Compigne, France.

By: S. Ghosh

Event: International Workshop on Applied Probability at Universit de Technologie de Compigne, France on July 7-10, 2008

Source: NC State University Libraries
Added: June 14, 2021

2008 journal article

Spatio-temporal modeling of agricultural yield data with an application to pricing crop insurance contracts

AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS, 90(4), 951–961.

By: V. Ozaki, S. Ghosh n, B. Goodwin n & R. Shirota

Contributors: V. Ozaki, S. Ghosh n, B. Goodwin n & R. Shirota

author keywords: crop insurance; hierarchical Bayesian models; spatio-temporal models
TL;DR: This method captures a comprehensive range of the various uncertainties involved in predicting crop insurance premium rates as opposed to the more traditional ad hoc, two-stage methods that are typically based on independent estimation and prediction. (via Semantic Scholar)
UN Sustainable Development Goal Categories
1. No Poverty (Web of Science)
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2007 conference paper

A Bayesian Approach to Assessing the Risk of QT Prolongation

Presented at the Joint Statistical Meetings.

By: S. Anand & S. Ghosh

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 17, 2021

2007 speech

A Class of Kernel-based CAR Models for Spatial Data

Ghosh, S. (2007, April). Presented at the Spring Lecture Series on Spatial and Spatio-temporal Methods, Fayetteville, AR.

By: S. Ghosh

Event: Spring Lecture Series on Spatial and Spatio-temporal Methods at Fayetteville, AR on April 14, 2007

Source: NC State University Libraries
Added: June 17, 2021

2007 conference paper

A Joint Modeling Approach for Analyzing Non-ignorable Missing Data

Ghosh, S. (2007, October 12). Presented at the International Conference on Advances in Interdisciplinary Statistics and Combinatorics, Greensboro, NC.

By: S. Ghosh

Event: International Conference on Advances in Interdisciplinary Statistics and Combinatorics at Greensboro, NC on October 12-14, 2007

Source: NC State University Libraries
Added: June 15, 2021

2007 conference paper

A Joint Modeling Approach for Analyzing Nonignorable Missing Data

Ghosh, S. (2007, July 29). Presented at the Joint Statistical Meetings, Salt Lake City, UT.

By: S. Ghosh

Event: Joint Statistical Meetings at Salt Lake City, UT on July 29 - August 2, 2007

Source: NC State University Libraries
Added: June 15, 2021

2007 conference paper

A Joint Modeling Approach for Analyzing Nonignorable Missing Data

Presented at the Joint Statistical Meetings.

By: S. Ghosh & L. Zhu

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 17, 2021

2007 conference paper

A Variable Selection Method for Linear Models using Modi ed Zellner's Prior

Presented at the Joint Statistical Meetings.

By: A. Krishna, S. Ghosh & H. Bondell

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 17, 2021

2007 conference paper

Application of Nonlinear Mixed E ects Models in Biomedical Sciences

Ghosh, S. (2007, January 29). Presented at the Statistics Seminar, Glaxo-Smith-Kline Inc, Research Triangle Park, NC.

By: S. Ghosh

Event: Statistics Seminar at Glaxo-Smith-Kline Inc, Research Triangle Park, NC on January 29, 2007

Source: NC State University Libraries
Added: June 17, 2021

2007 speech

Application of Nonlinear Mixed Models involving ODEs in Biomedical Sciences

Ghosh, S. (2007, November). Presented at the Department of Statistics, University of Maryland at Baltimore County, Baltimore, MD.

By: S. Ghosh

Event: Department of Statistics, University of Maryland at Baltimore County at Baltimore, MD on November 2, 2007

Source: NC State University Libraries
Added: June 15, 2021

2007 journal article

Bayesian Analysis of Quality Adjusted Lifetime (QAL) Data

Journal of Statistical Theory and Practice, 1(2), 233–251.

By: S. Ghosh n & P. Mukhopadhyay

author keywords: Bayesian Inference; Data Augmentation; Gibbs Sampling; Markov Chain Monte Carlo; Quality Adjusted Survival; TWiST
TL;DR: A Bayesian approach to analyze quality adjusted lifetime data is presented, considering a progressive health state model and a flexible class of parametric mixture distributions for the log of the time spent in different health states. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Crossref, NC State University Libraries
Added: January 28, 2021

2007 conference paper

Bayesian Estimation of Scram Rate Trends in Nuclear Power Plants

Presented at the Joint Statistical Meetings.

By: K. Mishra & S. Ghosh

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 17, 2021

2007 speech

Bayesian Methods for Nonlinear Mixed Models: a short course

Ghosh, S. (2007, May). Presented at the Glaxo-Smith-Kline Inc, Research Triangle Park, NC.

By: S. Ghosh

Event: Glaxo-Smith-Kline Inc at Research Triangle Park, NC on May 31 - June 5, 2007

Source: NC State University Libraries
Added: June 15, 2021

2007 journal article

Censored time series analysis with autoregressive moving average models

CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 35(1), 151–168.

By: J. Park*, M. Genton* & S. Ghosh n

Contributors: J. Park*, M. Genton* & S. Ghosh n

author keywords: censored time series; Fisher information; Gibbs sampler; imputation; truncated multivariate normal distribution
TL;DR: The authors present an attractive remedy for handling autocorrelated censored data based on a class of autoregressive and moving average (ARMA) models by introducing an imputation method well suited for fitting ARMA models in the presence of censored data. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2007 journal article

Data-reduction method for spatial data using a structured wavelet model

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 45(10), 2295–2311.

By: M. Jeong*, J. Lu*, W. Zhou* & S. Ghosh n

Contributors: M. Jeong*, J. Lu*, W. Zhou* & S. Ghosh n

author keywords: fault detection; intelligent manufacturing; process control; structured model; wavelets
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2007 speech

Monte Carlo Statistical Methods: a short course

Ghosh, S. (2007, December). Presented at the Thammasat University, Department of Mathematics and Statistics, Rangsit, Thailand.

By: S. Ghosh

Event: Thammasat University, Department of Mathematics and Statistics at Rangsit, Thailand on December 17-29, 2007

Source: NC State University Libraries
Added: June 15, 2021

2007 conference paper

Nonparametric Estimation of Mean Residual Life Function

Presented at the Joint Statistical Meetings.

By: S. Liu & S. Ghosh

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 17, 2021

2007 journal article

Semiparametric inference based on a class of zero-altered distributions

Statistical Methodology, 4(3), 371–383.

By: S. Ghosh n & H. Kim n

Contributors: S. Ghosh n & H. Kim n

Sources: ORCID, Crossref, NC State University Libraries
Added: January 24, 2021

2007 conference paper

Spatial Association Between Speciated Fine Particles and Mortality

Ghosh, S. (2007, September 24). Presented at the StatGIS Conference, Klagenfurt, Austria.

By: S. Ghosh

Event: StatGIS Conference at Klagenfurt, Austria on September 24-26, 2007

Source: NC State University Libraries
Added: June 15, 2021

2007 conference paper

Spatial Association between Speciated Fine Particles and Mortality

Ghosh, S. (2007, October 18). Presented at the 17th Annual Conference of the International Society of Exposure Analysis, Durham, NC.

By: S. Ghosh

Event: 17th Annual Conference of the International Society of Exposure Analysis at Durham, NC on October 18, 2007

Source: NC State University Libraries
Added: June 15, 2021

2007 conference paper

Spatial Association between Speciated Fine Particles and Mortality

Ghosh, S. (2007, June 21). Presented at the Office of Research and Methodology and Washington Statistical Society Seminar, National Center for Health Statistics, Hyattsville, MD.

By: S. Ghosh

Event: Office of Research and Methodology and Washington Statistical Society Seminar at National Center for Health Statistics, Hyattsville, MD on June 21, 2007

Source: NC State University Libraries
Added: June 15, 2021

2006 speech

A Joint Modeling Approach for Analyzing Nonignorable Missing Data

Ghosh, S. (2006, November). Presented at the Department of Biostatistics, University of Alabama, Birmingham, AL.

By: S. Ghosh

Event: Department of Biostatistics, University of Alabama at Birmingham, AL on November 9, 2006

Source: NC State University Libraries
Added: June 17, 2021

2006 conference paper

A hierarchical Bayesian Analysis of Longitudinal Frequency Data Using Piecewise Linear Regression

Presented at the Joint Statistical Meetings.

By: J. Kern, N. Bernini & S. Ghosh

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 17, 2021

2006 conference paper

Application of Nonlinear Mixed Effects Models in Biomedical Sciences

Ghosh, S. (2006, May 25). Presented at the Statistics Conference, Pattaya, Thailand.

By: S. Ghosh

Event: Statistics Conference at Pattaya, Thailand on May 25, 2006

Source: NC State University Libraries
Added: June 17, 2021

2006 conference paper

Bayesian Analysis and Model Selection in Closed-Population, Capture-Recapture Models

Presented at the Joint Statistical Meetings.

By: R. Gosky & S. Ghosh

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 17, 2021

2006 conference paper

Bayesian Inference for NLME Models Involving ODEs

Ghosh, S. (2006, August 8). Presented at the Joint Statistical Meetings, Seattle, WA, USA.

By: S. Ghosh

Event: Joint Statistical Meetings at Seattle, WA, USA on August 8, 2006

Source: NC State University Libraries
Added: June 17, 2021

2006 conference paper

Bayesian Inference for NLME Models Involving ODEs

Presented at the Joint Statistical Meetings.

By: S. Ghosh & L. Goyal

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 17, 2021

2006 speech

Bayesian Methods in Environmental Science: A Brief Introduction

Ghosh, S. (2006, February). Presented at the NCSU Student Chapter of the Air & Waste Management Association, Raleigh, NC.

By: S. Ghosh

Event: NCSU Student Chapter of the Air & Waste Management Association at Raleigh, NC on February 15, 2006

Source: NC State University Libraries
Added: June 17, 2021

2006 conference paper

Bayesian Modeling of Longitudinal Data with Nonignorable Missing Data

Presented at the Joint Statistical Meetings.

By: L. Zhu, S. Ghosh & S. Ghosal

Event: Joint Statistical Meetings

Source: NC State University Libraries
Added: June 17, 2021

2006 speech

Bayesian Variable Selection Methods

Ghosh, S. (2006, October). Presented at the Bayesian Statistics Working Group, NC State University, Raleigh, NC.

By: S. Ghosh

Event: Bayesian Statistics Working Group, NC State University at Raleigh, NC on October 3, 2006

Source: NC State University Libraries
Added: June 17, 2021

2006 journal article

Bayesian analysis of zero-inflated regression models

JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 136(4), 1360–1375.

By: S. Ghosh n, P. Mukhopadhyay n & J. Lu n

Contributors: S. Ghosh n, P. Mukhopadhyay n & J. Lu n

author keywords: Bayesian inference; data augmentation; Gibbs sampling; Markov chain Monte Carlo; WinBUGS; zero-inflated power series models
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2006 journal article

Major gene detection for fusiform rust resistance using Bayesian complex segregation analysis in loblolly pine

THEORETICAL AND APPLIED GENETICS, 113(5), 921–929.

By: H. Li n, S. Ghosh n, H. Amerson n & B. Li n

Contributors: H. Li n, S. Ghosh n, H. Amerson n & B. Li n

MeSH headings : Basidiomycota / pathogenicity; Bayes Theorem; Chromosome Mapping; Chromosome Segregation; Genes, Plant; Genotype; Immunity, Innate / genetics; Inheritance Patterns / genetics; Models, Genetic; Phenotype; Pinus taeda / genetics; Pinus taeda / growth & development; Pinus taeda / microbiology; Plant Diseases / genetics; Plant Diseases / microbiology
TL;DR: It appears that there may be two or more major genes affecting disease phenotypes in this diallel population of loblolly pine, and the MIM was a better model to explain the inheritance of rust resistance than the pure PM in the dialleL population. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
10. Reduced Inequalities (OpenAlex)
13. Climate Action (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2006 journal article

Physiologically-based pharmacokinetic modeling of genistein in rats, part I: Model development

RISK ANALYSIS, 26(2), 483–500.

By: P. Schlosser*, S. Borghoff, N. Coldham, J. David & S. Ghosh*

Contributors: P. Schlosser*, S. Borghoff, N. Coldham, J. David & S. Ghosh*

author keywords: endocrine-active; genistein; PBPK; phytoestrogen; rat
MeSH headings : Animals; Blood Proteins / metabolism; Female; Genistein / administration & dosage; Genistein / blood; Genistein / pharmacokinetics; Humans; Male; Models, Biological; Phytoestrogens / administration & dosage; Phytoestrogens / blood; Phytoestrogens / pharmacokinetics; Protein Binding; Rats; Rats, Sprague-Dawley; Rats, Wistar; Risk; Tissue Distribution
TL;DR: A physiologically‐based pharmacokinetic (PBPK) model to quantify the internal, target‐tissue dosimetry of genistein in adult rats is developed and can serve as a template for other phytoestrogens and in the design of future experiments and research that can be used to fill data gaps and better estimate model parameters. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: ORCID, Web Of Science
Added: August 6, 2018

2006 journal article

Semiparametric Accelerated Failure Time Models for Censored Data

Bayesian Statistics and Its Applications, 15, 213–229.