Sujit K. Ghosh

Bayesian inference for generalized linear model with linear inequality constraints

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 166, 107335.

Dynamic Correlation Multivariate Stochastic Volatility Black-Litterman With Latent Factors

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

Nonparametric Estimation and Testing for Positive Quadrant Dependent Bivariate Copula

Journal of Business & Economic Statistics, 1, 1–14.

Predicting exoplanet mass from radius and incident flux: a Bayesian mixture model

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 8.

Uncertainty quantification and estimation of closed curves based on noisy data

Computational Statistics.

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

SUSTAINABLE PRODUCTION AND CONSUMPTION, 7.

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

STATISTICS IN BIOPHARMACEUTICAL RESEARCH, Vol. 12, pp. 234–243.

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.

A Glimpse of Monte Carlo Methods

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

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.

Data transforming augmentation for heteroscedastic models

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, Vol. 29, pp. 659–667.

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

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

Heatwave duration: Characterizations using probabilistic inference

ENVIRONMETRICS, Vol. 3, p. e2626.

Monte Carlo Methods in Practice

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

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.

On empirical estimation of mode based on weakly dependent samples

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 152, 107046.

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

SANKHYA-SERIES A-MATHEMATICAL STATISTICS AND PROBABILITY.

Probabilistic Detection and Estimation of Conic Sections From Noisy Data

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, Vol. 29, pp. 513–522.

Rating exotic price coverage in crop revenue insurance

AGRICULTURAL FINANCE REVIEW.

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

(ArXiv No. 1910.04475).

Bayesian Statistical Methods

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.

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.

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.

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

STATISTICS IN BIOPHARMACEUTICAL RESEARCH, Vol. 12, pp. 199–209.

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.

Maximum Entropy-based Probabilistic Mass-Radius Relation of Exoplanets

ASTRONOMICAL JOURNAL, 158(2).

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.

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

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

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

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

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.

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.

A Statistical Exploration of Duckworth-Lewis Method Using Bayesian Inference

(ArXiv No. 1810.00908).

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.

Bayesian Sample Size Determination Methods for Hypotheses Testing

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

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.

Dynamic correlation multivariate stochastic volatility with latent factors

Statistica Neerlandica, 72(1), 48–69.

How proper are Bayesian models in the astronomical literature?

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

Inference about Conditional Hazard Function without PH and AFT Assumptions

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

Multivariate Density Estimation with Missing Data

(ArXiv No. 1808.04780).

On nonparametric estimation of the latent distribution for ordinal data

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

Predicting Exoplanet Masses and Radii: A Nonparametric Approach

The Astrophysical Journal, 869(1).

Statistical Learning Methods Workshop

Presented at the Thammasat University, Bangkok, Thailand.

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.

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.

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

The Astrophysical Journal, 840(1), 49.

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.

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.

Fostering Diversity in Biostatistics Workshop

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

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.

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.

Nonparametric Estimation of Mean Residual Life Function Using Scale Mixtures

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

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.

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.

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

Presented at the Joint Statistical Meetings, Baltimore, MD.

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.

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.

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

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

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

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

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.

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

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

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.

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.

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.

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.

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.

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.

Effects of PM on Mortality

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

Fast Hamiltonian Monte Carlo using GPU computing

Journal of Computational and Graphical Statistics, 25(2), 536–548.

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.

On Nonparametric Estimation of the Latent Distribution for Ordinal Data

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

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.

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.

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.

Some New Metrics to Test for Biosimilarity

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

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.

Statistical Methods to Test for Biosimilarity

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

Statistical Metrics for Biosimilarity

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

A Statistician's Journey: Atmospheric Sciences to Zoology

Presented at the Annual SACNAS Conference, Washington, DC.

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.

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.

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

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

Dynamic Model Based Methods to Test for Biosimilarity

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

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.

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.

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.

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.

Nonparametric Models for Longitudinal Data Using Bernstein Polynomials

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

Nonparametric estimation of the conditional mean residual life function

Presented at the QPRC-2015, Raleigh, NC.

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

Statistics and Probability Letters, 98, 59–64.

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

(ArXiv Preprint No. 1510.02967).

Opportunities at SAMSI

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

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.

Using Historical Data in Clinical Trials: A Discussion

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

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.

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.

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.

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

Statistical Modelling, 14(1), 1–20.

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

Presented at the Joint Statistical Meetings, Boston, MA.

Maximum likelihood estimation for generalized conditionally autoregressive models of spatial data

Journal of the Korean Statistical Society, 43(3), 339–353.

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

Saarbrücken, Germany: Scholars Press.

Nonparametric Models for Longitudinal Data Subject to Shape Constraints

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

Opportunities at SAMSI

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

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.

Unimodal density estimation using Bernstein polynomials

Computational Statistics and Data Analysis, 72, 13–29.

A semiparametric approach to source separation using independent component analysis

Computational Statistics and Data Analysis, 58(1), 383–396.

Bayesian Analysis of ZeroAltered Poisson Regression Models

Thailand Statistician, 11, 111–131.

Bayesian average error-based approach to sample size calculations for hypothesis testing

Journal of Biopharmaceutical Statistics, 23(3), 569–588.

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

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

Efficient Sieve Maximum Likelihood Estimation of Time-Transformation Models

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

Imputation in high-dimensional economic data as applied to the agricultural resource management survey

Journal of the American Statistical Association, 108(501), 81–95.

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).

Nonparametric Gaussian Process Models for Censored Longitudinal Data

Presented at the Joint Statistical Meeting, Montreal, Canada.

Nonparametric Models for Longitudinal Data Using Bernstein Polynomial Sieve

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

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.

Nonparametric Models for Longitudinal Data Using Bernstein Polynomials

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

Shape Restricted regression Models: A short course

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

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

Thailand Statistician, 11, 45–65.

A Comparative Study of the Estimation of the Maximum Tolerated Dose

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

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

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

A Model for Overdispersion and Underdispersion using Latent Markov Processes

Thailand Statistician, 10, 183–197.

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.

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.

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

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

Nonparametric Bayes Applications in Biostatistics: A Discussion

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

Nonparametric regression models for right-censored data using Bernstein polynomials

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

Novel Statistical Methods for Noninferiority/Equivalence Testing: A Discussion

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

Shape Restricted Nonparametric Regression Based on Multivariate Bernstein Polynomials

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

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

Presented at the Bocconi University, Milano, Italy.

Shape restricted nonparametric regression with Bernstein polynomials

Computational Statistics and Data Analysis, 56(9), 2729–2741.

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

Presented at the TIES, Hyderabad, India.

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.

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

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

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

Pharmaceutical Statistics, 10(2), 122–127.

A variable selection approach to monotonic regression with Bernstein polynomials

Journal of Applied Statistics, 38(5), 961–976.

Bayesian Analysis of Circular Data Using Wrapped Distributions

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

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.

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.

Bayesian Methods: Theory & Applications

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

Economic implications of imputation in agricultural economic data: Discussion

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

Empirical analysis of climate change impact on loblolly pine plantations in the southern united states

Natural Resource Modeling, 24(4), 445–476.

High-dimensional Multivariate Imputation Methods for ARMS Data

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

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.

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.

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

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

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

Lifetime Data Analysis, 17(4), 514–532.

Nonparametric regression models for right-censored data using Bernstein polynomials

Computational Statistics & Data Analysis.

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.

Semiparametric bayesian testing procedure for noninferiority trials with binary endpoints

Journal of Biopharmaceutical Statistics, 21(5), 920–937.

Shape Restricted Nonparametric Regression For Econometric Models

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

Smooth Density Estimation Under Moment Constraint

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

Smooth density estimation with moment constraints using mixture distributions

Journal of Nonparametric Statistics, 23(2), 513–531.

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

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

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.

Adaptive Bayesian Methods for Non-Inferiority Tests

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

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.

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.

Basics of Bayesian methods.

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

Bayesian Methods in Clinical Trials

Presented at the Biostatistics Workshop, Hyderabad, India.

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.

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.

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.

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

Thailand Statistician, 8, 109–122.

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.

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

Biometrics, 66(4), 1069–1077.

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

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

Maximum likelihood estimation for directional conditionally autoregressive models

Journal of Statistical Planning and Inference, 140(11), 3160–3179.

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

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

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.

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.

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.

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.

Spatio-temporal analysis of total nitrate concentrations using dynamic statistical models

Journal of the American Statistical Association, 105(490), 538–551.

Statistical Inference for Nonlinear Models Involving Ordinary Differential Equations

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

Statistical Methodologies for Conducting Comparative E ectiveness Research

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

A Bayesian Approach for Investigating the Risk of QT Prolongation

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

A Bayesian Semiparametric Accelerated Failure Time Cure Model for Censored Data

Presented at the Joint Statistical Meetings.

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.

A Variable Selection Approach to Bayesian Monotonic Regression with Bernstein Polynomials

Presented at the Joint Statistical Meetings.

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.

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.

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.

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.

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.

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

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

A stochastic neighborhood conditional autoregressive model for spatial data

Computational Statistics and Data Analysis, 53(8), 3033–3046.

An autoregressive point source model for spatial processes

Environmetrics, 20(5), 575–594.

Bayesian Analysis in R

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

Bayesian Independent Component Analysis Using Mixture Priors

Presented at the Joint Statistical Meetings.

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.