Sujit Ghosh

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, 11, 1–36.

Uncertainty quantification and estimation of closed curves based on noisy data

Computational Statistics.

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. 2, pp. 1–9.

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. 4, pp. 1–10.

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.

Nonparametric Estimation of Mean Residual Life Function Using Scale Mixtures

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

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.

Fast Hamiltonian Monte Carlo using GPU computing

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

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.

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

Statistics and Probability Letters, 98, 59–64.

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

Statistical Modelling, 14(1), 1–20.

Maximum likelihood estimation for generalized conditionally autoregressive models of spatial data

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

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 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).

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

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

Nonparametric regression models for right-censored data using Bernstein polynomials

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

Shape restricted nonparametric regression with Bernstein polynomials

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

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.

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.

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.

Semiparametric bayesian testing procedure for noninferiority trials with binary endpoints

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

Smooth density estimation with moment constraints using mixture distributions

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

Basics of Bayesian methods.

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

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.

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

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

A Bayesian Approach for Investigating the Risk of QT Prolongation

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

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

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

Bayesian inference for directional conditionally autoregressive models

Bayesian Analysis, 4(4), 675–705.

Bayesian unit-root tests for Stochastic Volatility models

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

Bayesian variable selection using an adaptive powered correlation prior

Journal of Statistical Planning and Inference, 139(8), 2665–2674.

Daily activity patterns of university students

Journal of Urban Planning and Development, 135(4), 141–149.

Estimation of SCRAM rate trends in nuclear power plants using hierarchical bayes models

Communications in Statistics - Theory and Methods, 38(16-17), 2856–2871.

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.

Nonparametric autocovariance estimation from censored time series by Gaussian imputation

Journal of Nonparametric Statistics, 21(2), 241–259.

Performance of information criteria for spatial models

Journal of Statistical Computation and Simulation, 79(1), 93–106.

Public investment and industry incentives in life-science research

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

A Reparametrization Approach for Dynamic Space-Time Models

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

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

Journal of Multivariate Analysis, 99(8), 1681–1697.

Bayesian Analysis of Change-Point Hazard Rate Problem

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

Bayesian estimation and unit root tests for random coefficient autoregressive models

Model Assisted Statistics and Applications, 3(4), 281–295.

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

Transactions of the American Fisheries Society, 137(2), 438–453.

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.

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

Water Resources Research, 44(9).

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

American Journal of Agricultural Economics, 90(4), 951–961.

Bayesian Analysis of Quality Adjusted Lifetime (QAL) Data

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

Censored time series analysis with autoregressive moving average models

Canadian Journal of Statistics, 35(1), 151–168.

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

International Journal of Production Research, 45(10), 2295–2311.

Semiparametric inference based on a class of zero-altered distributions

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

Bayesian analysis of zero-inflated regression models

Journal of Statistical Planning and Inference, 136(4), 1360–1375.

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

Theoretical and Applied Genetics, 113(5), 921–929.

Physiologically-based pharmacokinetic modeling of genistein in rats, part I: Model development

Risk Analysis, 26(2), 483–500.

Spatial analysis of Aedes albopictus (Diptera: Culicidae) oviposition in suburban neighborhoods of a piedmont community in North Carolina

Journal of Medical Entomology, 43(5), 976–989.

Spatial association between speciated fine particles and mortality

Biometrics, 62(3), 855–863.

Bayesian capture-recapture analysis and model selection allowing for heterogeneity and behavioral effects

Journal of Agricultural, Biological, and Environmental Statistics, 10(1), 35–49.

Bayesian capture-recapture analysis and model selection allowing for heterogeneity and behavioral effects

Journal of Agricultural, Biological, and Environmental Statistics, 10(1), 35–49.

Internucleotide movements during formation of 16 S rRNA-rRNA photocrosslinks and their connection to the 30 S subunit conformational dynamics

Journal of Molecular Biology, 354(2), 358–374.

Multiple Events Time Data: A Bayesian Recourse

In Handbook of Statistics (Vol. 25, pp. 891–906).

A blocking Gibbs sampling method to detect major genes with phenotypic data from a diallel mating

Genetical Research, 83(2), 143–154.

Interval estimation of genetic susceptibility for retrospective case-control studies.

BMC Genetics, 5(9).

Affinity maturation of the humoral immune response: A Bayesian approach

Journal of Agricultural, Biological, and Environmental Statistics, 8(3), 367–382.

Predicting and Modeling Superintendent Turnover

Journal of School Leadership, 13(3), 328–346.

Ch. 31. Bayesian and frequentist methods in change-point problems

In Handbook of Statistics (Vol. 20, pp. 777–787).

Essential Wavelets for Statistical Applications and Data Analysis

Technometrics, 43(1), 105–105.

Testing for proportionality of multivariate dispersion structures using interdirections

Journal of Nonparametric Statistics, 13(3), 331–349.

Generalized Linear Models: A Bayesian Perspective

5.

Proportional hazards models: A latent competing risk approach

Journal of the Royal Statistical Society. Series C: Applied Statistics, 49(3), 385–397.

Bayesian analysis and model selection for interval-censored survival data

Biometrics, 55(2), 585–590.

Analyzing real estate data problems using the Gibbs sampler

Real Estate Economics, 26(3), 469–492.

Latent waiting time models for bivariate event times with censoring

Sankhya. Series B, 60(1998), 31–47.

Model choice: A minimum posterior predictive loss approach

Biometrika, 85(1), 1–11.

Review: Linear Models

[Review of Linear Models, by B. K. Moser]. Journal of the American Statistical Association, 93(441), 402.

Spatio-temporal modeling of residential sales data

Journal of Business and Economic Statistics, 16(3), 312–321.

Measuring the effect of observations using the posterior and intrinsic bayes factors with vague prior information

Sankhya. Series A, 59(1997), 376–391.

On local sensitivity measures in Bayesian analysis

In Institute of Mathematical Statistics Lecture Notes - Monograph Series (pp. 21–40).