Sujit Ghosh

Sui, Q., & Ghosh, S. K. (2024). Active Learning for Stacking and AdaBoost-Related Models. STATS, 7(1), 110–137. https://doi.org/10.3390/stats7010008

Sehgal, M., Jatrana, S., Johnson, L., & Ghosh, S. K. (2024, February 29). Assessing Child Health in India: Development and Validation of a Comprehensive Child Health Index. CHILD INDICATORS RESEARCH, Vol. 2. https://doi.org/10.1007/s12187-024-10112-x

Silva, J. F., Ghosh, S. K., & Mayrink, V. D. (2024, March 2). Degree selection methods for curve estimation via Bernstein polynomials. COMPUTATIONAL STATISTICS, Vol. 3. https://doi.org/10.1007/s00180-024-01473-6

Chen, L., & Ghosh, S. K. (2024). Fast Model Selection and Hyperparameter Tuning for Generative Models. ENTROPY, 26(2). https://doi.org/10.3390/e26020150

Lu, L., & Ghosh, S. (2024). Nonparametric Estimation of Conditional Copula Using Smoothed Checkerboard Bernstein Sieves. Mathematics. https://doi.org/10.3390/math12081135

Lee, D., Gao, C., Ghosh, S., & Yang, S. (2024, March 24). Transporting survival of an HIV clinical trial to the external target populations. JOURNAL OF BIOPHARMACEUTICAL STATISTICS, Vol. 3. https://doi.org/10.1080/10543406.2024.2330216

Dieffenderfer, J., Brewer, A., Noonan, M. A., Smith, M., Eichenlaub, E., Haley, K. L., … Bozkurt, A. (2023). 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. https://doi.org/10.1109/EMBC40787.2023.10339986

Lee, D., & Ghosh, S. (2023). Bayesian Analysis of First-Order Markov Models for Autocorrelated Binary Responses. JOURNAL OF STATISTICAL THEORY AND PRACTICE, 17(1). https://doi.org/10.1007/s42519-022-00305-4

Kanodia, S., He, M. Y., Ford, E. B., Ghosh, S. K., & Wolfgang, A. (2023). Beyond Two-dimensional Mass-Radius Relationships: A Nonparametric and Probabilistic Framework for Characterizing Planetary Samples in Higher Dimensions. ASTROPHYSICAL JOURNAL, 956(2). https://doi.org/10.3847/1538-4357/acf3e7

Ghosh, S. (2023, October 5). Multivariate Dependence beyond Correlation: Nonparametric Copulas. https://doi.org/10.52843/cassyni.ms603h

Lu, L., & Ghosh, S. (2023). Nonparametric Estimation of Multivariate Copula Using Empirical Bayes Methods. MATHEMATICS, 11(20). https://doi.org/10.3390/math11204383

Ghosal, R., Ghosh, S., Urbanek, J., Schrack, J. A., & Zipunnikov, V. (2023). Shape-constrained estimation in functional regression with Bernstein polynomials. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 178. https://doi.org/10.1016/j.csda.2022.107614

Lu, X., Che, Y., Rejesus, R. M., Goodwin, B. K., Ghosh, S. K., & Paudel, J. (2023). Unintended environmental benefits of crop insurance: Nitrogen and phosphorus in water bodies. ECOLOGICAL ECONOMICS, 204. https://doi.org/10.1016/j.ecolecon.2022.107657

Ghosal, R., & Ghosh, S. K. (2022). Bayesian Inference for Generalized Linear Model with Linear Inequality Constraints. Computational Statistics & Data Analysis, 166, 107335. https://doi.org/10.1016/j.csda.2021.107335

Zeytoon-Nejad, A., Goodwin, B. K., & Ghosh, S. (2022, October 29). Generalizing the General: generalizing the CES production function to allow for the viability of input thresholds. APPLIED ECONOMICS, Vol. 10. https://doi.org/10.1080/00036846.2022.2128294

Boone, E., Hannig, J., Ghanam, R., Ghosh, S., Ruggeri, F., & Prudhomme, S. (2022). Model Validation of a Single Degree-of-Freedom Oscillator: A Case Study. STATS, 5(4), 1195–1211. https://doi.org/10.3390/stats5040071

Chakraborty, H., Hossain, A., Dey, S., & Ghosh, S. K. (2022, June 14). Modeling Right-skewed Heavy-tail Right-censored Survival Data with Application to HIV Viral Load. BULLETIN OF THE MALAYSIAN MATHEMATICAL SCIENCES SOCIETY, Vol. 6. https://doi.org/10.1007/s40840-022-01317-w

Lu, L., & Ghosh, S. K. (2022). Nonparametric Estimation and Testing for Positive Quadrant Dependent Bivariate Copula. Journal of Business & Economic Statistics, 40(2), 664–677. https://doi.org/10.1080/07350015.2020.1855186

Wang, Y., & Ghosh, S. K. (2022, November 23). Nonparametric estimation of isotropic covariance function. JOURNAL OF NONPARAMETRIC STATISTICS, Vol. 11. https://doi.org/10.1080/10485252.2022.2146111

Kulkarni, L., Sabnis, S., & Ghosh, S. K. (2022). 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. https://doi.org/10.1007/s13171-020-00217-0

Roberts, E., Ghosh, S., & Pourdeyhimi, B. (2022, January 13). Process-Structure-Property relationship of roping in meltblown nonwovens. JOURNAL OF THE TEXTILE INSTITUTE, Vol. 1. https://doi.org/10.1080/00405000.2022.2029277

Andrei, M. S., Ghosh, S. K., & Zou, J. (2021). Dynamic Correlation Multivariate Stochastic Volatility Black-Litterman With Latent Factors. International Journal of Statistics and Probability, 10(2), 1. https://doi.org/10.5539/ijsp.v10n2p1

Ma, Q., & Ghosh, S. K. (2021). Predicting Exoplanet Mass from Radius and Incident Flux: A Bayesian Mixture Model. Monthly Notices of the Royal Astronomical Society, 505(3), 3853–3865. https://doi.org/10.1093/mnras/stab1584

Chen, L., & Ghosh, S. K. (2021). Uncertainty quantification and estimation of closed curves based on noisy data. Computational Statistics, 36(3), 2161–2176. https://doi.org/10.1007/s00180-021-01077-4

Sehgal, M., Ghosh, S. K., Singh, K. N., Gupta, V., Lal, K., Sehgal, A., & Mathur, A. (2021). Vulnerability of child health to climate related agricultural productivity threat in India. SUSTAINABLE PRODUCTION AND CONSUMPTION, 27, 2090–2100. https://doi.org/10.1016/j.spc.2021.05.004

Ghosh, S. K., & Dong, L. (2020). A Functional Metric Approach to Assess Biosimilarity With Application to Rheumatoid Arthritis Trials. STATISTICS IN BIOPHARMACEUTICAL RESEARCH, 12(2), 234–243. https://doi.org/10.1080/19466315.2020.1733071

Ghosh, S. (2020, November). A Gambler's Journey through Monte Carlo. Presented at the School of Mathematical and Statistical Sciences, University of Texas - Rio Grande Valley.

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

Li, Y., Ma, Q., & Ghosh, S. K. (2020). 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. https://doi.org/10.1145/3394486.3403240

Tak, H., You, K., Ghosh, S. K., Su, B., & Kelly, J. (2020). Data transforming augmentation for heteroscedastic models. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 29(3), 659–667. https://doi.org/10.1080/10618600.2019.1704295

Sheng, A., & Ghosh, S. K. (2020). Effects of Proportional Hazard Assumption on Variable Selection Methods for Censored Data. STATISTICS IN BIOPHARMACEUTICAL RESEARCH, 12(2), 199–209. https://doi.org/10.1080/19466315.2019.1694578

Sehgal, M., & Ghosh, S. (2020). Exploring the Usefulness of Meteorological Data for Predicting Malaria Cases in Visakhapatnam, Andhra Pradesh. WEATHER CLIMATE AND SOCIETY, 12(2), 323–330. https://doi.org/10.1175/WCAS-D-19-0029.1

Raha, S., & Ghosh, S. K. (2020). Heatwave duration: Characterizations using probabilistic inference. ENVIRONMETRICS, 31(5). https://doi.org/10.1002/env.2626

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

Ghosh, S. (2020, December 18). On Empirical Estimation of Mode Based on Weakly Dependent Samples. Presented at the International Conference on Statistics for Twenty-First Century.

Liu, B., & Ghosh, S. K. (2020). On empirical estimation of mode based on weakly dependent samples. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 152. https://doi.org/10.1016/j.csda.2020.107046

Guha, S., & Ghosh, S. K. (2020). Probabilistic Detection and Estimation of Conic Sections From Noisy Data. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 29(3), 513–522. https://doi.org/10.1080/10618600.2020.1737084

Ramsey, A. F., Ghosh, S. K., & Goodwin, B. K. (2020). Rating exotic price coverage in crop revenue insurance. AGRICULTURAL FINANCE REVIEW, 80(5), 609–631. https://doi.org/10.1108/AFR-10-2019-0107

Demarqui, F. N., Mayrink, V. D., & Ghosh, S. K. (2019). An Unified Semiparametric Approach to Model Lifetime Data with Crossing Survival Curves (ArXiv No. 1910.04475).

Reich, B. J., & Ghosh, S. K. (2019). Bayesian Statistical Methods. https://doi.org/10.1201/9780429202292

Ghosh, S. (2019, March). Does Knowledge of Shapes Matter in Statistics? Presented at the Department of Applied and Computational Mathematics and Statistics Colloquium, University of Notre Dame, Notre Dame, IN.

Ghosh, S. (2019, April). Dynamic Correlation Multivariate Stochastic Volatility with Latent Factors. Presented at the Department of Mathematics Colloquium,  North Dakota State University, Fargo, ND.

Ghosh, S. (2019). 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.

Ramsey, A. F., Goodwin, B. K., & Ghosh, S. K. (2019). 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. https://doi.org/10.22004/ag.econ.287967

Ma, Q., & Ghosh, S. K. (2019). Maximum Entropy-based Probabilistic Mass-Radius Relation of Exoplanets. ASTRONOMICAL JOURNAL, 158(2). https://doi.org/10.3847/1538-3881/ab2990

Ghosh, S. (2019). 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.

Tak, H., Ellis, J. A., & Ghosh, S. K. (2019). Robust and Accurate Inference via a Mixture of Gaussian and Student's t Errors. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 28(2), 415–426. https://doi.org/10.1080/10618600.2018.1537925

Ramsey, A. F., Ghosh, S. K., & Sonoda, T. (2019). Saying Sayonara to the Farm: Hierarchical Bayesian Modeling of Farm Exits in Japan. JOURNAL OF AGRICULTURAL ECONOMICS, 70(2), 372–391. https://doi.org/10.1111/1477-9552.12290

Ghosh, S. K. (2019). 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.

Ghosh, S. (2019, August). When are PH, AFT and PO Models not Adequate for Health Risk Assessment? Presented at the SAMSI-GDRR Opening Workshop, Raleigh, NC.

Bhattacharya, I., Ghosal, R., & Ghosh, S. (2018). A Statistical Exploration of Duckworth-Lewis Method Using Bayesian Inference (ArXiv No. 1810.00908).

Ghosh, S. (2018, March). A Statistician's Journey: Astronomy to Zoology. Presented at the Mu Sigma Rho Banquet Speech, North Carolina State University, Raleigh, NC.

Ghosh, S. (2018, August). Bayesian Sample Size Determination Methods for Hypotheses Testing. Presented at the KOL Lecture Series, The DIA Bayesian Scientific Working Group.

Ghosh, S. (2018). 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.

Wu, S.-J., Ghosh, S. K., Ku, Y.-C., & Bloomfield, P. (2018). Dynamic correlation multivariate stochastic volatility with latent factors. Statistica Neerlandica, 72(1), 48–69. https://doi.org/10.1111/stan.12115

Tak, H., Ghosh, S. K., & Ellis, J. A. (2018). How proper are Bayesian models in the astronomical literature? MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 481(1), 277–285. https://doi.org/10.1093/mnras/sty2326

Ghosh, S. (2018). Inference about Conditional Hazard Function without PH and AFT Assumptions. Presented at the ASA Biopharmaceutical Section Statistics Workshop, Washington, DC.

Li, Z., Wu, L., Zhou, W., & Ghosh, S. K. (2018). Multivariate Density Estimation with Missing Data (ArXiv No. 1808.04780).

Ghosh, S. K., Burns, C. B., Prager, D. L., Zhang, L., & Hui, G. (2018). On nonparametric estimation of the latent distribution for ordinal data. Computational Statistics & Data Analysis, 119, 86–98. https://doi.org/10.1016/J.CSDA.2017.10.001

Ning, B., Wolfgang, A., & Ghosh, S. (2018). Predicting Exoplanet Masses and Radii: A Nonparametric Approach. ASTROPHYSICAL JOURNAL, 869(1). https://doi.org/10.3847/1538-4357/aaeb31

Ghosh, S. (2018). Statistical Learning Methods Workshop. Presented at the Thammasat University, Bangkok, Thailand.

Ghosh, S. (2018). 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.

Shin, S. J., & Ghosh, S. K. (2017). 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. https://doi.org/10.1080/15598608.2016.1261260

Czekala, I., Mandel, K. S., Andrews, S. M., Dittmann, J. A., Ghosh, S. K., Montet, B. T., & Newton, E. R. (2017). Disentangling Time-series Spectra with Gaussian Processes: Applications to Radial Velocity Analysis. The Astrophysical Journal, 840(1), 49. https://doi.org/10.3847/1538-4357/aa6aab

Ghosh, S. (2017). 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.

Ghosh, S. (2017, November 10). Flexible Models for Gaussian Processes with Applications to Correlated Data. Presented at the Applied Mathematics & Statistics Colloquium, Department of Mathematics, Case Western Reserve University, Cleveland, OH.

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

Ghosh, S. (2017). 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.

Ghosh, S. (2017, September 15). Key Factors Affecting Children's Health in India: Results from NFHS-4 study. Presented at the Global Environmental Health Day, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC.

Ghosh, S. K., & Liu, S. (2017). Nonparametric Estimation of Mean Residual Life Function Using Scale Mixtures. In Mathematical and Statistical Applications in Life Sciences and Engineering (pp. 169–191). https://doi.org/10.1007/978-981-10-5370-2_8

Ghosh, S. (2017). 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.

Ghosh, S. (2017, March). Nonparametric Models for Gaussian Processes with Applications to Spatial and Longitudinal Data. Presented at the Department of Mathematical Sciences, University of Cincinnati, Cincinnati, OH.

Ghosh, S. (2017). Nonparametric Models for Irregularly Sampled Censored Data with Applications to Liver Transplant Allocations. Presented at the Joint Statistical Meetings, Baltimore, MD.

Ghosh, S. (2017, November). Regression Models for Censored Data: When it?s NOT a good idea to use PH, AFT and other such models? Presented at the ASA BioPharmaceutical Section Webinar.

Ghosh, S. (2017). 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.

Ghosh, S. (2017). SAMSI workshop on Time Series Analysis for Synoptic Surveys and Gravitational Wave Astronomy. Presented at the International Centre for Theoretical Sciences, Bengaluru, India.

Ghosh, S. (2017). Semiparametric Estimation of the Mass-Radius Joint Distribution for Sub-Neptune Sized Planets. Presented at the International Indian Statistical Association Annual Conference, Hyderabad, India.

Ghosh, S. (2017). 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.

Ghosh, S. K., & Anand, S. (2016). A Novel Bayesian Approach to Analyzing `Thorough QT/QTc Study'. Journal of Statistical Research, 48-50(2), 21–36.

Pomann, G.-M., Staicu, A.-M., & Ghosh, S. (2016). 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. https://doi.org/10.1111/rssc.12130

Ghosh, S. (2016). 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.

Ghosh, S. (2016). 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.

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

Ghosh, S. (2016). 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.

Ghosh, S. (2016, March 25). Dynamic Model Based Methods to Test for Biosimilarity. Presented at the Department of Statistics Colloquium, University of Connecticut, Storrs, CT.

Ghosh, S. (2016). Effects of PM on Mortality. Presented at the Statistical Methods and Analysis of Environmental Health Data Workshop (SAMSI-SAVI), Mumbai, India.

Beam, A. L., Ghosh, S. K., & Doyle, J. (2016). Fast Hamiltonian Monte Carlo Using GPU Computing. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 25(2), 536–548. https://doi.org/10.1080/10618600.2015.1035724

Ghosh, S. (2016, November 10). Nonparametric Regression Models for Right-censored Data: Beyond Proportional Hazards. Presented at the Biostatistics Seminar, School of Public Health University of Pittsburgh, Pittsburgh, PA.

Ghosh, S. K., Burns, C., Prager, D., Zhang, L., & Hui, G. (2016). On Nonparametric Estimation of the Latent Distribution for Ordinal Data (Department of Statistics Technical Report No. 2661). Raleigh, NC: North Carolina State University.

Ghosh, S. (2016, May). Semi-parametric Model Based Methods to Test for Biosimilarity. Presented at the Department of Statistics Colloquium, Oregon State University, Corvallis, OR.

Ghosh, S. (2016). 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.

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

Ghosh, S. (2016). Some New Metrics to Test for Biosimilarity. Presented at the Joint Statistical Meetings, McCormick Place, Chicago, IL.

Ghosh, S. (2016). 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.

Ghosh, S. (2016, March). Statistical Methods to Test for Biosimilarity. Presented at the ASA Continuing Education Webinar of Biopharmaceutical Section.

Ghosh, S. (2016). Statistical Metrics for Biosimilarity. Presented at the SACNAS Annual Conference, Long Beach, CA.

Ghosh, S. (2015). A Statistician's Journey: Atmospheric Sciences to Zoology. Presented at the Annual SACNAS Conference, Washington, DC.

Ghosh, S. (2015, April). A exible observed factor model with separate dynamics for the factor volatilities and their correlation matrix. Presented at the Institute for Integrating Statistics in Decision Sciences, Department of Decision Sciences, George Washington University, Washington, DC.

Ghosh, S. (2015). 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.

Ghosh, S. (2015). Bayesian Methods for Reliability, International Workshop on Reliability and Time Series Methodology. Presented at the Cochin University of Science and Technology, Cochin, Kerala, India.

Ghosh, S. (2015). Dynamic Model Based Methods to Test for Biosimilarity. Presented at the Ninth International Triennial Calcutta Symposium on Probability and Statistics, Kolkata, India.

Li, Y., & Ghosh, S. K. (2015). 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. https://doi.org/10.1080/15598608.2014.996690

Ghosh, S. (2015, April). High-dimensional Multivariate Imputation Methods for ARMS Data Featuring New Methods for Ordinal Variables. Presented at the Economic Research Services, USDA, Washington, DC.

Ghosh, S. (2015, July). Nonparametric Estimation of the Conditional Mean Residual Life Function. Presented at the Departmento de Metodos Estatsticos Instituto de Matematica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.

Ghosh, S. (2015, November 13). Nonparametric Longitudinal Analysis of Irregularly Observed Noisy Data. Presented at the Department of Statistics Colloquium Western Michigan University, Kalamazoo, MI.

Ghoah, S. (2015). Nonparametric Models for Longitudinal Data Using Bernstein Polynomials. Presented at the G70: A Celebration of Alan Gelfand's 70th Birthday, Duke University, Durham, NC.

Ghosh, S. (2015). Nonparametric estimation of the conditional mean residual life function. Presented at the QPRC-2015, Raleigh, NC.

Xiao, Y., Ku, Y.-C., Bloomfield, P., & Ghosh, S. K. (2015). On the degrees of freedom in MCMC-based Wishart models for time series data. STATISTICS & PROBABILITY LETTERS, 98, 59–64. https://doi.org/10.1016/j.spl.2014.12.012

Taylor-Rodriguez, D., & Ghosh, S. K. (2015). On the estimation of the order of smoothness of the regression function (ArXiv Preprint No. 1510.02967).

Ghosh, S. (2015). Opportunities at SAMSI. Presented at the NISS-SAMSI Aliate Annual Meeting at ENAR, Miami, FL.

Ghosh, S. (2015). 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.

Ghosh, S. (2015). Using Historical Data in Clinical Trials: A Discussion. Presented at the FDA-Industry Statistics Workshop, Washington, DC.

Ghosh, S. (2014). 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.

Ghosh, S. (2014, April). A Semiparametric Approach to Source Separation using Independent Component Analysis. Presented at the Department of Mathematics, University of Maryland, College Park, MD.

Ghosh, S. (2014, October). A Semiparametric Approach to Source Separation using Independent Component Analysis. Presented at the Department of Statistics, University of Georgia, Athens, GA.

Ku, Y.-C., Bloomfield, P., & Ghosh, S. K. (2014). A flexible observed factor model with separate dynamics for the factor volatilities and their correlation matrix. STATISTICAL MODELLING, 14(1), 1–20. https://doi.org/10.1177/1471082x13490016

Ghosh, S. (2014). Bayesian methods in global clinical trials: an era of synthesizing evidence. Presented at the Joint Statistical Meetings, Boston, MA.

Kyung, M., & Ghosh, S. K. (2014). Maximum likelihood estimation for generalized conditionally autoregressive models of spatial data. JOURNAL OF THE KOREAN STATISTICAL SOCIETY, 43(3), 339–353. https://doi.org/10.1016/j.jkss.2013.10.005

Zhu, Y., Goodwin, B. K., & Ghosh, S. K. (2014). Modeling Dependence in the Design of Crop Insurance Contracts: Crop Insurance and Modeling Dependence. Saarbrücken, Germany: Scholars Press.

Ghosh, S. (2014). Nonparametric Models for Longitudinal Data Subject to Shape Constraints. Presented at the Department of Statistics, Texas A& M University, College Station, Texas.

Ghosh, S. (2014). Opportunities at SAMSI. Presented at the Modern Math Workshop at SACNAS, Los Angeles, CA.

Ghosh, S. (2014). 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.

Turnbull, B. C., & Ghosh, S. K. (2014). Unimodal density estimation using Bernstein polynomials. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 72, 13–29. https://doi.org/10.1016/j.csda.2013.10.021

Eloyan, A., & Ghosh, S. K. (2013). A semiparametric approach to source separation using independent component analysis. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 58(1), 383–396. https://doi.org/10.1016/j.csda.2012.09.012

Kunthong, T., Ghosh, S. K., & Chaimongkol, S. (2013). Bayesian Analysis of ZeroAltered Poisson Regression Models. Thailand Statistician, 11, 111–131.

Reyes, E. M., & Ghosh, S. K. (2013). Bayesian Average Error-Based Approach to Sample Size Calculations for Hypothesis Testing. JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 23(3), 569–588. https://doi.org/10.1080/10543406.2012.755994

Kalaylioglu, Z. I., Bozdemir, B., & Ghosh, S. K. (2013). Bayesian unit-root testing in stochastic volatility models with correlated errors. Hacettepe Journal of Mathematics and Statistics, 42(6), 659–669.

McLain, A. C., & Ghosh, S. K. (2013). Efficient Sieve Maximum Likelihood Estimation of Time-Transformation Models. Journal of Statistical Theory and Practice, 7(2), 285–303. https://doi.org/10.1080/15598608.2013.772835

Robbins, M. W., Ghosh, S. K., & Habiger, J. D. (2013). Imputation in High-Dimensional Economic Data as Applied to the Agricultural Resource Management Survey. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 108(501), 81–95. https://doi.org/10.1080/01621459.2012.734158

Ghosh, S. K. (2013). 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). https://doi.org/10.1007/978-1-4614-9332-7_2

Ghosh, S. (2013). Nonparametric Gaussian Process Models for Censored Longitudinal Data. Presented at the Joint Statistical Meeting, Montreal, Canada.

Wang, L., & Ghosh, S. K. (2013). Nonparametric Models for Longitudinal Data Using Bernstein Polynomial Sieve (Department of Statistics Technical Report No. 2651). Raleigh, NC: North Carolina State University.

Ghosh, S. (2013, April). Nonparametric Models for Longitudinal Data Using Bernstein Polynomials. Presented at the Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA.

Ghosh, S. (2013, January 3). Nonparametric Models for Longitudinal Data Using Bernstein Polynomials. Presented at the International Indian Statistical Association Conference, Chennai, India.

Ghosh, S. (2013). Shape Restricted regression Models: A short course. Presented at the International Indian Statistical Association Conference, Chennai, India.

Thongjaem, P., Ghosh, S. K., & Budsaba, K. (2013). The Least Squares Methods of Estimation using Bernstein Polynomials for Density Estimation. Thailand Statistician, 11, 45–65.

Ghosh, S. (2012). A Comparative Study of the Estimation of the Maximum Tolerated Dose. Presented at the Joint Statistical Meeting, San Diego, CA, USA.

Ghosh, S. (2012). A Flexible Class of Models for Longitudinal Data Subject to Data Irregularities. Presented at the Eighth International Triennial Calcutta Symposium, Kolkata, India.

Thaithanan, J., Ghosh, S. K., & Bumrungsup, C. (2012). A Model for Overdispersion and Underdispersion using Latent Markov Processes. Thailand Statistician, 10, 183–197.

Ghosh, S. (2012, November 3). A Statistician's Journey Through the 'Bayesian' Path. Presented at the 8th Annual UNCG Regional Mathematics and Statistics Conference, Greensboro, NC.

Ghosh, S. (2012). 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.

Ghosh, S. (2012). Nonparametric Bayes Applications in Biostatistics: A Discussion. Presented at the ISBA 2012 World Meeting, Kyoto, Japan.

Ghosh, S. (2012). Novel Statistical Methods for Noninferiority/Equivalence Testing: A Discussion. Presented at the FDA-Industry Statistics Workshop, Washington, D.C., USA.

Wang, J., & Ghosh, S. K. (2012). Shape Restricted Nonparametric Regression Based on Multivariate Bernstein Polynomials (Department of Statistics Technical Report No. 2640). Raleigh, NC: North Carolina State University.

Ghosh, S. (2012). Shape Restricted Regression Models with Applications to Econometrics: A Short Course. Presented at the Bocconi University, Milano, Italy.

Wang, J., & Ghosh, S. K. (2012). Shape restricted nonparametric regression with Bernstein polynomials. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 56(9), 2729–2741. https://doi.org/10.1016/j.csda.2012.02.018

Ghosh, S. (2012). Spatio-Temporal Analysis of Total Nitrate Concentrations Using Dynamic Statistical Models. Presented at the TIES, Hyderabad, India.

Curtis, S. M. K., & Ghosh, S. K. (2011). 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. https://doi.org/10.1080/15598608.2011.10483741

Gosky, R. M., & Ghosh, S. K. (2011). A Comparative Study of Bayes Estimators of Closed Population Size from Capture-Recapture Data. Journal of Statistical Theory and Practice, 5(2), 241–260. https://doi.org/10.1080/15598608.2011.10412027

Anand, S. P., & Ghosh, S. K. (2011). A flexible class of models for data arising from a 'thorough QT/QTc study'. PHARMACEUTICAL STATISTICS, 10(2), 122–127. https://doi.org/10.1002/pst.420

Curtis, S. M. K., & Ghosh, S. K. (2011). A variable selection approach to monotonic regression with Bernstein polynomials. JOURNAL OF APPLIED STATISTICS, 38(5), 961–976. https://doi.org/10.1080/02664761003692423

Ravindran, P., & Ghosh, S. K. (2011). Bayesian Analysis of Circular Data Using Wrapped Distributions. Journal of Statistical Theory and Practice, 5(4), 547–561. https://doi.org/10.1080/15598608.2011.10483731

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

Ghosh, S. (2011, November). Bayesian Methods for Non-inferiority Tests and Sample Size Determination. Presented at the Biopharmaceutical Section of ASA Web-based Training Series.

Ghosh, S. (2011). Bayesian Methods: Theory & Applications. Presented at the Short Course at United Network of Organ Sharing, Richmond, VA.

Huang, J., Abt, B., Kindermann, G., & Ghosh, S. (2011). EMPIRICAL ANALYSIS OF CLIMATE CHANGE IMPACT ON LOBLOLLY PINE PLANTATIONS IN THE SOUTHERN UNITED STATES. NATURAL RESOURCE MODELING, 24(4), 445–476. https://doi.org/10.1111/j.1939-7445.2011.00098.x

Ghosh, S. K. (2011). Economic implications of imputation in agricultural economic data: Discussion. American Journal of Agricultural Economics, 93(2), 627–628. https://doi.org/10.1093/ajae/aaq165

Ghosh, S. (2011, March). High-dimensional Multivariate Imputation Methods for ARMS Data. Presented at the Department of Statistics, Iowa State University, Ames, IA.

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

Zhu, Y., Goodwin, B. K., & Ghosh, S. K. (2011). 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. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-79958174389&partnerID=MN8TOARS

Belasco, E. J., & Ghosh, S. K. (2011). Modelling semi-continuous data using mixture regression models with an application to cattle production yields. The Journal of Agricultural Science, 150(1), 109–121. https://doi.org/10.1017/S0021859611000608

McLain, A. C., & Ghosh, S. K. (2011). Nonparametric estimation of the conditional mean residual life function with censored data. LIFETIME DATA ANALYSIS, 17(4), 514–532. https://doi.org/10.1007/s10985-011-9197-x

Osman, M., & Ghosh, S. K. (2011). Nonparametric regression models for right-censored data using Bernstein polynomials. Computational Statistics & Data Analysis, 56(3), 559–573. https://doi.org/10.1016/j.csda.2011.08.019

Ghosh, S. (2011, June). Regional Analysis on the Effects of Environmental Stressors on Health Related Incidents. Presented at the Centers for Disease Control and Prevention, Hyattsville, MD.

Osman, M., & Ghosh, S. K. (2011). SEMIPARAMETRIC BAYESIAN TESTING PROCEDURE FOR NONINFERIORITY TRIALS WITH BINARY ENDPOINTS. JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 21(5), 920–937. https://doi.org/10.1080/10543406.2010.544526

Ghosh, S. (2011). Shape Restricted Nonparametric Regression For Econometric Models. Presented at the 2nd International IIMA Conference, Ahmedabad, India.

Ghosh, S. (2011). Smooth Density Estimation Under Moment Constraint. Presented at the International Conference in Mathematics and Applications, Bangkok, Thailand.

Eloyan, A., & Ghosh, S. K. (2011). Smooth density estimation with moment constraints using mixture distributions. JOURNAL OF NONPARAMETRIC STATISTICS, 23(2), 513–531. https://doi.org/10.1080/10485252.2010.532554

Ghosh, S. (2011). Some of Your Data are Imputed. What Should You Do? Presented at the Joint Annual Meeting of the Agricultural & Applied Economics Association, Pittsburgh, PA.

Ghosh, S. (2010, January 3). A Bayesian Approach to Assessing the Risk of QT Prolongation. Presented at the International Conference on Statistics, Probability, Operation Research, Computer Science and Allied Areas, Vizag, India.

Ghosh, S. (2010, January 23). Adaptive Bayesian Methods for Non-Inferiority Tests. Presented at the Bayesian Biostatistics Conference, Houston, TX.

Habiger, J., Robbins, M., & Ghosh, S. K. (2010). 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.

Ghosh, S. (2010, January 19). Application of MOS to Improve Coastal Wind Forecasting. Presented at the SINO-U.S.Training Workshop on Numerical Ocean Prediction, Raleigh, NC.

Ghosh, S. K. (2010). Basics of Bayesian methods. Methods in Molecular Biology (Clifton, N.J.), 620, 155–178. https://doi.org/10.1007/978-1-60761-580-4_3

Ghosh, S. (2010). Bayesian Methods in Clinical Trials. Presented at the Biostatistics Workshop, Hyderabad, India.

Ghosh, S. (2010, April 30). Bayesian Shape Restricted Regression with Multivariate Bernstein Polynomials. Presented at the Seminar on Bayesian Inference in Econometrics and Statistics (SBIES), Austin, TX.

Ghosh, S. (2010, June 3). Bayesian Shape Restricted Regression with Multivariate Bernstein Polynomials. Presented at the International Society of Bayesian Analysis (ISBA) World Meeting, Benidorm, Spain.

Ghosh, S. (2010, July 25). Economic Implications of Imputation in Agricultural Economic Data: A Discussion. Presented at the Joint Annual Meeting of the Agricultural & Applied Economics Association, Denver, CO.

Araveeporn, A., Ghosh, S. K., & Budsaba, K. (2010). Forecasting the Stock Exchange Rate of Thailand Index by Conditional Heteroscedastic Autoregressive Nonlinear Model with Autocorrelated Errors'. Thailand Statistician, 8, 109–122.

Robbins, M., Ghosh, S. K., & Habiger, J. (2010). 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.

Bondell, H. D., Krishna, A., & Ghosh, S. K. (2010). Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models. BIOMETRICS, 66(4), 1069–1077. https://doi.org/10.1111/j.1541-0420.2010.01391.x

Wang, D., Ghosh, S. K., & Pantula, S. G. (2010). Maximum Likelihood Estimation and Unit Root Test for First Order Random Coefficient AutoRegressive Models. Journal of Statistical Theory and Practice, 4(2), 261–278. https://doi.org/10.1080/15598608.2010.10411985

Kyung, M., & Ghosh, S. K. (2010). Maximum likelihood estimation for directional conditionally autoregressive models. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 140(11), 3160–3179. https://doi.org/10.1016/j.jspi.2010.04.012

Ghosh, S. (2010, July 31). Multivariate Imputation Methods for Agricultural Resource Management Survey (ARMS) Data. Presented at the Joint Statistical Meetings, Vancouver, Canada.

Ghosh, S. (2010, December 3). Multivariate Shape Restricted Nonparametric Regression with Bernstein Polynomials. Presented at the Triangle Econometrics Conference, National Institute of Statistical Sciences (NISS), Research Triangle Park, NC.

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

Osman, M., & Ghosh, S. K. (2010). 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. https://doi.org/10.1080/15598608.2010.10411996

Ghosh, S. K., Bhave, P. V., Davis, J. M., & Lee, H. (2010). Spatio-Temporal Analysis of Total Nitrate Concentrations Using Dynamic Statistical Models. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 105(490), 538–551. https://doi.org/10.1198/jasa.2010.ap07441

Ghosh, S. (2010, January 22). Spatio-Temporal Analysis of Total Nitrate Concentrations Using Dynamic Statistical Models. Presented at the SAMSI Working Group Meeting, Research Triangle Park, NC.

Ghosh, S. K., & Goyal, L. (2010). Statistical Inference for Nonlinear Models Involving Ordinary Differential Equations. Journal of Statistical Theory and Practice, 4(4), 727–742. https://doi.org/10.1080/15598608.2010.10412015

Ghosh, S. (2010, October 6). Statistical Methodologies for Conducting Comparative E ectiveness Research. Presented at the GlaxoSmithKline Biostatistics Annual Conference, Research Triangle Park, NC.

Anand, S. P., & Ghosh, S. K. (2009). A Bayesian Approach for Investigating the Risk of QT Prolongation. Journal of Statistical Theory and Practice, 3(2), 445–454. https://doi.org/10.1080/15598608.2009.10411936

Krachey, E., Ghosh, S. K., & Lu, W. (2009). A Bayesian Semiparametric Accelerated Failure Time Cure Model for Censored Data. Presented at the Joint Statistical Meetings.

Ghosh, S. (2009, May 10). A Novel Bayesian Approach to Assessing the Risk of QT Prolongation. Presented at the 5th Conference of the Eastern Mediterranean Region of the International Biometric Society, Istanbul, Turkey.

Curtis, S. M., & Ghosh, S. K. (2009). A Variable Selection Approach to Bayesian Monotonic Regression with Bernstein Polynomials. Presented at the Joint Statistical Meetings.

Ghosh, S. (2009, December 28). A Variable Selection Approach to Bayesian Monotonic Regression with Bernstein Polynomials. Presented at the Seventh International Triennial Calcutta Symposium, Kolkata, India.

Ghosh, S. (2009, May). A Variable Selection Approach to Bayesian Monotonic Regression with Bernstein Polynomials. Presented at the Department of Statistics, Middle East Technical University, Ankara, Turkey.

Ghosh, S. (2009, May 1). A Variable Selection Approach to Bayesian Monotonic Regression with Bernstien Polynomials. Presented at the Seminar Bayesian Inference in Econometrics and Statistics, Washington University, St. Louis, MO.

Ghosh, S. (2009, November). A Variable Selection Approach to Monotonic Regression with Bernstein Polynomials. Presented at the Department of Statistics, University of Missouri, Columbia, MO.

Gosky, R. M., & Ghosh, S. K. (2009). 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. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-78650799398&partnerID=MN8TOARS

Belasco, E. J., Ghosh, S. K., & Goodwin, B. K. (2009). A multivariate evaluation of Ex ante risks associated with fed cattle production. American Journal of Agricultural Economics, 91(2), 431–443. https://doi.org/10.1111/j.1467-8276.2008.01244.x

White, G., & Ghosh, S. K. (2009). A stochastic neighborhood conditional autoregressive model for spatial data. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 53(8), 3033–3046. https://doi.org/10.1016/j.csda.2008.08.010

Hughes-Oliver, J. M., Heo, T.-Y., & Ghosh, S. K. (2009). An autoregressive point source model for spatial processes. ENVIRONMETRICS, 20(5), 575–594. https://doi.org/10.1002/env.957

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

Eloyan, A., & Ghosh, S. K. (2009). Bayesian Independent Component Analysis Using Mixture Priors. Presented at the Joint Statistical Meetings.

Kyung, M., & Ghosh, S. K. (2009). Bayesian Inference for Directional Conditionally Autoregressive Models. BAYESIAN ANALYSIS, 4(4), 675–705. https://doi.org/10.1214/09-BA425

Mishra, K. K., & Ghosh, S. K. (2009). 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. https://doi.org/10.1080/15598608.2009.10411939

Kalaylıoğlu, Z. I., & Ghosh, S. K. (2009). Bayesian unit-root tests for Stochastic Volatility models. Statistical Methodology, 6(2), 189–201. https://doi.org/10.1016/j.stamet.2008.07.002

Krishna, A., Bondell, H. D., & Ghosh, S. K. (2009). Bayesian variable selection using an adaptive powered correlation prior. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 139(8), 2665–2674. https://doi.org/10.1016/j.jspi.2008.12.004

Ghosh, S. (2009, July 26). Best applied practices for analysis of agricultural economics problems using Bayesian inferential techniques. Presented at the Joint Annual Meeting of the Agricultural & Applied Economics Association, Milwaukee, WI.

Eom, J. K., Stone, J. R., & Ghosh, S. K. (2009). Daily Activity Patterns of University Students. JOURNAL OF URBAN PLANNING AND DEVELOPMENT, 135(4), 141–149. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000015

Zhu, Y., Ghosh, S. K., & Goodwin, B. (2009). Dynamic Pricing the Revenue Insurance Contracts: A Time-Varying Copula Model. Presented at the Joint Statistical Meetings.

Mishra, K. K., & Ghosh, S. K. (2009). Estimation of SCRAM Rate Trends in Nuclear Power Plants Using Hierarchical Bayes Models. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 38(16-17), 2856–2871. https://doi.org/10.1080/03610920902947196

Ghosh, S. (2009, August 2). Guiding Young Professionals to Be Successful in Government, Academia, and Industries. Presented at the Joint Statistical Meetings, Washington, DC.

Huggins, W., Ghosh, S. K., & Wollenzien, P. (2009). 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. https://doi.org/10.1186/1472-6807-9-49

Krishna, A., Bondell, H., & Ghosh, S. K. (2009). 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.

Park, J. W., Genton, M. G., & Ghosh, S. K. (2009). Nonparametric autocovariance estimation from censored time series by Gaussian imputation. JOURNAL OF NONPARAMETRIC STATISTICS, 21(2), 241–259. https://doi.org/10.1080/10485250802570964

Lee, H., & Ghosh, S. K. (2009). Performance of information criteria for spatial models. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 79(1), 93–106. https://doi.org/10.1080/00949650701611143

Belasco, E. J., Ghosh, S. K., & Goodwin, B. K. (2009). Public investment and industry incentives in life-science research. American Journal of Agricultural Economics, 91(2), 431–443.

Osman, M., & Ghosh, S. K. (2009). Semi-parametric Bayesian Approach for Testing Non-inferiority Using Relative Risk and Odds Ratio for Binary Data. Presented at the Joint Statistical Meetings.

Ghosh, S. (2009, December 17). Semiparametric Inference Based on a Class of Zero-Altered Distributions. Presented at the International Conference in Mathematics and Applications, Bangkok, Thailand.

Ghosh, S. (2008, January 2). A Class of Kernel-based CAR Models for Spatial Data. Presented at the International Conference on Statistical Paradigms, Indian Statistical Institute, Kolkata, India.

Anand, S., & Ghosh, S. K. (2008). A Flexible Class of Models for Data Arising from a `Thorough QT/QTc Study,'. Presented at the Joint Statistical Meetings.

Mishra, K., & Ghosh, S. K. (2008). A Nonparametric Model of Quality Adjusted Lifetime Data Analysis with Zero Duration Health States. Presented at the Joint Statistical Meetings.

Lee, H., & Ghosh, S. K. (2008). A Reparametrization Approach for Dynamic Space-Time Models. Journal of Statistical Theory and Practice, 2(1), 1–14. https://doi.org/10.1080/15598608.2008.10411856

Ghosh, S. K. (2008, November). A Statistician Goes to the XXIX Olympics. AmStat News, 29.

White, G., & Ghosh, S. K. (2008). A Stochastic Neighborhood Conditional Auto-Regressive Model for Spatial Data. Presented at the Joint Statistical Meetings.

Song, H.-R., Fuentes, M., & Ghosh, S. (2008). A comparative study of Gaussian geostatistical models and Gaussian Markov random field models. JOURNAL OF MULTIVARIATE ANALYSIS, 99(8), 1681–1697. https://doi.org/10.1016/j.jmva.2008.01.012

Ghosh, S. K., & Ebrahimi, N. (2008). Bayesian Analysis of Change-Point Hazard Rate Problem. Journal of Statistical Theory and Practice, 2(4), 523–533. https://doi.org/10.1080/15598608.2008.10411892

Ghosh, S. (2008, January). Bayesian Biostatistics: one-day workshop. Presented at the Indian Association for Statistics in Clinical trials, GlaxoSmithKline, Bangalore, India.

Grith, E. H., Ghosh, S. K., Pollock, K. H., & Seider, M. J. (2008). Bayesian Catch Curve Analysis (Institute of Statistics Mimeograph No. 2615). Raleigh, NC: North Carolina State University.

Ghosh, S. (2008, June). Bayesian Inference for Data Assimilation: a short course. Presented at the Technical University of Crete, Chania, Greece.

Wang, D., & Ghosh, S. K. (2008). Bayesian estimation and unit root tests for random coefficient autoregressive models. Model Assisted Statistics and Applications, 3(4), 281–295. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-57549107477&partnerID=MN8TOARS

Wibster, R. A., Pollock, K. H., Ghosh, S. K., & Hankin, D. G. (2008). Bayesian spatial modeling of data from unit-count surveys of fish in streams. TRANSACTIONS OF THE AMERICAN FISHERIES SOCIETY, 137(2), 438–453. https://doi.org/10.1577/T06-138.1

Ghosh, S. K., & Ouyang, H. (2008). Effects of Missing and Censored Data for Nonlinear Models Involving ODEs. Presented at the Joint Statistical Meetings.

Richards, S. L., Ghosh, S. K., Zeichner, B. C., & Apperson, C. S. (2008). 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. https://doi.org/10.1603/0022-2585(2008)45[617:IOSROT]2.0.CO;2

Zhu, Y., Ghosh, S. K., & Goodwin, B. K. (2008). Modeling Dependence in the Design of Crop Insurance Contract: A Semiparametric Copula Model Approach. Presented at the Joint Statistical Meetings.

Devineni, N., Sankarasubramanian, A., & Ghosh, S. (2008). Multimodel ensembles of streamflow forecasts: Role of predictor state in developing optimal combinations. Water Resources Research, 44(9). https://doi.org/10.1029/2006wr005855

Liu, S., & Ghosh, S. K. (2008). Regression Analysis of Mean Residual Life Function (Institute of Statistics Mimeograph No. 2613). Raleigh, NC: North Carolina State University.

Ghosh, S. (2008, July 7). Semiparametric Inference Based on a Class of Zero-altered Distributions. Presented at the International Workshop on Applied Probability, Universit de Technologie de Compigne, France.

Ozaki, V. A., Ghosh, S. K., Goodwin, B. K., & Shirota, R. (2008). Spatio-temporal modeling of agricultural yield data with an application to pricing crop insurance contracts. AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS, 90(4), 951–961. https://doi.org/10.1111/j.1467-8276.2008.01153.x

Anand, S., & Ghosh, S. K. (2007). A Bayesian Approach to Assessing the Risk of QT Prolongation. Presented at the Joint Statistical Meetings.

Ghosh, S. (2007, April). A Class of Kernel-based CAR Models for Spatial Data. Presented at the Spring Lecture Series on Spatial and Spatio-temporal Methods, Fayetteville, AR.

Ghosh, S. (2007, October 12). A Joint Modeling Approach for Analyzing Non-ignorable Missing Data. Presented at the International Conference on Advances in Interdisciplinary Statistics and Combinatorics, Greensboro, NC.

Ghosh, S. (2007, July 29). A Joint Modeling Approach for Analyzing Nonignorable Missing Data. Presented at the Joint Statistical Meetings, Salt Lake City, UT.

Ghosh, S. K., & Zhu, L. (2007). A Joint Modeling Approach for Analyzing Nonignorable Missing Data. Presented at the Joint Statistical Meetings.

Krishna, A., Ghosh, S. K., & Bondell, H. (2007). A Variable Selection Method for Linear Models using Modi ed Zellner's Prior. Presented at the Joint Statistical Meetings.

Ghosh, S. (2007, January 29). Application of Nonlinear Mixed E ects Models in Biomedical Sciences. Presented at the Statistics Seminar, Glaxo-Smith-Kline Inc, Research Triangle Park, NC.

Ghosh, S. (2007, November). Application of Nonlinear Mixed Models involving ODEs in Biomedical Sciences. Presented at the Department of Statistics, University of Maryland at Baltimore County, Baltimore, MD.

Ghosh, S. K., & Mukhopadhyay, P. (2007). Bayesian Analysis of Quality Adjusted Lifetime (QAL) Data. Journal of Statistical Theory and Practice, 1(2), 233–251. https://doi.org/10.1080/15598608.2007.10411836

Mishra, K., & Ghosh, S. K. (2007). Bayesian Estimation of Scram Rate Trends in Nuclear Power Plants. Presented at the Joint Statistical Meetings.

Ghosh, S. (2007, May). Bayesian Methods for Nonlinear Mixed Models: a short course. Presented at the Glaxo-Smith-Kline Inc, Research Triangle Park, NC.

Park, J. W., Genton, M. G., & Ghosh, S. K. (2007). Censored time series analysis with autoregressive moving average models. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 35(1), 151–168. https://doi.org/10.1002/cjs.5550350113

Jeong, M. K., Lu, J.-C., Zhou, W., & Ghosh, S. K. (2007). Data-reduction method for spatial data using a structured wavelet model. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 45(10), 2295–2311. https://doi.org/10.1080/00207540600793547

Ghosh, S. (2007, December). Monte Carlo Statistical Methods: a short course. Presented at the Thammasat University, Department of Mathematics and Statistics, Rangsit, Thailand.

Liu, S., & Ghosh, S. K. (2007). Nonparametric Estimation of Mean Residual Life Function. Presented at the Joint Statistical Meetings.

Ghosh, S. K., & Kim, H. (2007). Semiparametric inference based on a class of zero-altered distributions. Statistical Methodology, 4(3), 371–383. https://doi.org/10.1016/j.stamet.2007.01.001

Ghosh, S. (2007, September 24). Spatial Association Between Speciated Fine Particles and Mortality. Presented at the StatGIS Conference, Klagenfurt, Austria.

Ghosh, S. (2007, October 18). Spatial Association between Speciated Fine Particles and Mortality. Presented at the 17th Annual Conference of the International Society of Exposure Analysis, Durham, NC.

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

Ghosh, S. (2006, November). A Joint Modeling Approach for Analyzing Nonignorable Missing Data. Presented at the Department of Biostatistics, University of Alabama, Birmingham, AL.

Kern, J., Bernini, N., & Ghosh, S. K. (2006). A hierarchical Bayesian Analysis of Longitudinal Frequency Data Using Piecewise Linear Regression. Presented at the Joint Statistical Meetings.

Ghosh, S. (2006, May 25). Application of Nonlinear Mixed Effects Models in Biomedical Sciences. Presented at the Statistics Conference, Pattaya, Thailand.

Gosky, R., & Ghosh, S. K. (2006). Bayesian Analysis and Model Selection in Closed-Population, Capture-Recapture Models. Presented at the Joint Statistical Meetings.

Ghosh, S. (2006, August 8). Bayesian Inference for NLME Models Involving ODEs. Presented at the Joint Statistical Meetings, Seattle, WA, USA.

Ghosh, S. K., & Goyal, L. (2006). Bayesian Inference for NLME Models Involving ODEs. Presented at the Joint Statistical Meetings.

Ghosh, S. (2006, February). Bayesian Methods in Environmental Science: A Brief Introduction. Presented at the NCSU Student Chapter of the Air & Waste Management Association, Raleigh, NC.

Zhu, L., Ghosh, S. K., & Ghosal, S. (2006). Bayesian Modeling of Longitudinal Data with Nonignorable Missing Data. Presented at the Joint Statistical Meetings.

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

Ghosh, S. K., Mukhopadhyay, P., & Lu, J. C. (2006). Bayesian analysis of zero-inflated regression models. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 136(4), 1360–1375. https://doi.org/10.1016/j.jspi.2004.10.008

Li, H., Ghosh, S., Amerson, H., & Li, B. (2006). Major gene detection for fusiform rust resistance using Bayesian complex segregation analysis in loblolly pine. THEORETICAL AND APPLIED GENETICS, 113(5), 921–929. https://doi.org/10.1007/s00122-006-0351-x

Schlosser, P. M., Borghoff, S. J., Coldham, N. G., David, J. A., & Ghosh, S. K. (2006). Physiologically-based pharmacokinetic modeling of genistein in rats, part I: Model development. RISK ANALYSIS, 26(2), 483–500. https://doi.org/10.1111/j.1539-6924.2006.00743.x

Ghosh, S. K., & Ghosal, S. (2006). Semiparametric Accelerated Failure Time Models for Censored Data. Bayesian Statistics and Its Applications, 15, 213–229.

Ghosh, S. (2006, June). Spatial Statistics: a short course. Presented at the Department of Mathematics and Statistics, Thammasat University, Rangsit, Thailand.

Richards, S. L., Apperson, C. S., Ghosh, S. K., Cheshire, H. M., & Zeichner, B. C. (2006). 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. https://doi.org/10.1603/0022-2585(2006)43[976:SAOAAD]2.0.CO;2

Fuentes, M., Song, H.-R., Ghosh, S. K., Holland, D. M., & Davis, J. M. (2006). Spatial association between speciated fine particles and mortality. BIOMETRICS, 62(3), 855–863. https://doi.org/10.1111/j.1541-0420.2006.00526.x

Goyal, L., & Ghosh, S. K. (2006). Statistical Inference for Nonlinear Models Involving Ordinary Differential Equations. Presented at the Joint Statistical Meetings.

Ghosh, S. (2005, May 31). An overview of Bayesian Statistical Methods with an Application to Capture-Recapture Data. Presented at the Department of Mathematics and Statistics, Thammasat University, Rangsit, Thailand.

Ghosh, S. (2005, May). An overview of Bayesian inference and MCMC methods. Presented at the Department of Mathematics and Statistics, Thammasat University, Rangsit, Thailand.

Goyal, L., & Ghosh, S. K. (2005). Bayesian Inference for Nonlinear Models Involving Ordinary Differential Equations. Presented at the Joint Statistical Meetings.

Ghosh, S. (2005). Bayesian Unit Root Tests for Random Coecient Autoregressive Models. Presented at the Seminar on Bayesian Inference in Econometrics and Statistics (SBIES), Washington University, Saint Louis, MO.

Ghosh, S. K., & Norris, J. L. (2005). Bayesian capture-recapture analysis and model selection allowing for heterogeneity and behavioral effects. Journal of Agricultural, Biological, and Environmental Statistics, 10(1), 35–49. https://doi.org/10.1198/10871105X28651

Ghosh, S. K., & Norris, J. L. (2005). Bayesian capture-recapture analysis and model selection allowing for heterogeneity and behavioral effects. Journal of Agricultural, Biological, and Environmental Statistics, 10(1), 35–49. https://doi.org/10.1198/108571105X28651

Ghosh, S. (2005, May). Bayesian capture-recapture analysis of a closed population allowing for heterogeneity between animals. Presented at the Department of Statistics, Penn State University, State College, PA.

Ghosh, S. (2005). Bayesian inference: a short course. Presented at the Department of Mathematics and Statistics, Thammasat University, Rangsit, Thailand.

Mukhopadhyay, P., Berger, R., & Ghosh, S. K. (2005). Comparison of Exact, Approximate and Bayesian Tests for Testing the Hypothesis of Efficacy. Presented at the Joint Statistical Meetings.

Huggins, W., Ghosh, S. K., Nanda, K., & Wollenzien, P. (2005). 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. https://doi.org/10.1016/j.jmb.2005.09.060

Sinha, D., & Ghosh, S. K. (2005). Multiple Events Time Data: A Bayesian Recourse. In Handbook of Statistics (Vol. 25, pp. 891–906). https://doi.org/10.1016/S0169-7161(05)25031-9

Ghosh, S. (2005, January 7). Semiparametric Bayesian Analysis of AFT Models. Presented at the BHU Workshop and Conference on Bayesian Statistics, Varanasi, India.

Zeng, W., Ghosh, S., & Li, B. L. (2004). A blocking Gibbs sampling method to detect major genes with phenotypic data from a diallel mating. GENETICS RESEARCH, 83(2), 143–154. https://doi.org/10.1017/S0016672304006718

Park, J., Ghosh, S. K., & Genton, M. G. (2004). Analyzing censored data based on autoregressive models. Presented at the Joint Statistical Meetings.

Ghosh, S. (2004, September). Bayesian capture-recapture analysis of a closed population allowing for heterogeneity between animals. Presented at the Department of Mathematics, Wake Forest University, Wake Forest, NC.

Zaykin, D. V., Meng, Z., & Ghosh, S. K. (2004). Interval estimation of genetic susceptibility for retrospective case-control studies. BMC Genetics, 5(9). https://doi.org/10.1186/1471-2156-5-9

Zaykin, D. V., Meng, Z., & Ghosh, S. K. (2004). Interval estimation of genetic susceptibility for retrospective case-control studies. BMC Genetics, 5. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84872244249&partnerID=MN8TOARS

Ghosh, S. (2004, March 29). Proportional Mean Regression Models for Censored Data. Presented at the Eastern North American Region Meetings, Pittsburgh, PA.

Ghosh, S. K., & Ghosal, S. (2004). Proportional Mean Regression Models for Censored Data (Institute of Statistics Mimeograph No. 2563). Raleigh, NC: North Carolina State University.

Ghosh, S. (2004, October). Semiparametric Bayesian Analysis of AFT Models. Presented at the Department of Statistics, University of Florida, Gainesville, FL.

Ghosh, S. (2004, June 7). Semiparametric Bayesian Inference based on AFT models. Presented at the Southern Regional Council of Statistics Summer Research Conference, Blacksburg, VA.

Ghosh, S. (2004, August 11). Semiparametric Regression Models for Zero-inflated Data. Presented at the Joint Statistical Meetings, Toronto, Canada.

Ghosh, S. (2004, May 15). Unit Root Tests for Random Coecient Autoregressive Models. Presented at the 5th Biennial International Conference on Statistics Probability and Related Areas, Athens, GA.

Lee, H., & Ghosh, S. K. (2003). A Robustness Study for Cost-E ectiveness Study. Presented at the Joint Statistical Meetings.

Ghosh, S. K. (2003). Affinity maturation of the humoral immune response: A Bayesian approach. JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 8(3), 367–382. https://doi.org/10.1198/1085711032228

Ghosh, S. (2003). Bayesian Analysis of Random Coecient Autoregressive Models. Presented at the SAMSI workshop on Challenges in Stochastic Computation, Research Triangle Park, NC.

Ghosh, S. (2003, August 2). Bayesian Analysis of Zero-inflated Models for Correlated Data. Presented at the Joint Statistical Meetings, San Francisco, CA.

Ravindran, P., & Ghosh, S. K. (2003). Bayesian Methods for Circular Time Series Using Wrapped Distributions. Presented at the Joint Statistical Meetings.

Ghosh, S. (2003, October). Bayesian Methods in Environmental Science: An introduction. Presented at the Department of Statistics, North Carolina State University, Raleigh, NC.

Kalaylioglu, Z., Pantula, S. G., & Ghosh, S. K. (2003). Frequentist Unit Root Tests in Stochastic Volatility Models. Presented at the Joint Statistical Meetings.

Ghosh, S. (2003). Nonstationary Spatial Modeling for Multiple Point Sources. Presented at the Eastern North American Region International Biometric Society (ENAR) Spring meeting, Tampa, FL.

Ghosh, S. (2003, March). Nonstationary Spatial Modeling for Multiple Point Sources. Presented at the Department of Statistics & Applied Probability, National University of Singapore, Republic of Singapore.

Heo, T. Y., Hughes-Oliver, J. M., & Ghosh, S. K. (2003). Point Source Modeling Using a Bayesian Hierarchical Nonstationary Spatial Model. Presented at the Joint Statistical Meetings.

Natkin, G. L., Cooper, B. S., Alborano, J. A., Padilla, A., & Ghosh, S. K. (2003). Predicting and Modeling Superintendent Turnover. Journal of School Leadership, 13(3), 328–346. https://doi.org/10.1177/105268460301300305

Ghosh, S. (2003, November). Proportional Mean Regression Models for Censored Data. Presented at the Department of Statistics, University of Georgia, Athens, GA.

Ghosh, S. (2002, April). Bayesian Analysis of Capture-Recapture Models. Presented at the Department of Statistics, North Carolina State University, Raleigh, NC.

Ghosh, S. (2002, March). Bayesian Analysis of Capture-recapture Models. Presented at the Department of Statistics, Purdue University, West Lafayette, IN.

Ghosh, S. K., & Wang, D. (2002). Bayesian Analysis of Random Coecient Autoregressive Models. Presented at the Joint Statistical Meetings.

Ghosh, S. (2002, January 10). Bayesian Capture-Recapture Analysis with Time and Heterogeneity Effects. Presented at the Multiple System Estimation Meeting, U.S Census Bureau, Suitland, MD.

Kalaylioglu, Z., & Ghosh, S. K. (2002). Bayesian Unit-root Tests in Stochastic Volatility Models. Presented at the Joint Statistical Meetings.

Ghosh, S. (2002, July). Lecture series on Bayesian Wavelets methods for Data Compression. Presented at the DPS Technologies Inc, Kolkata, India.

Ghosh, S. K. (2002). Measures of Model Uncertainty of Simultaneous Perturbation in Both Priors and the Likelihood. International Journal of Mathematical Sciences, 1, 163–177.

Ghosh, S. (2002, August 11). Modeling Nonstationary Time Series using Link Functions. Presented at the Joint Statistical Meetings, New York, NY.

Natkin, J., Cooper, B., Fusarelli, L., Alborano, J., Padilla, A., & Ghosh, S. K. (2002, May). Myth of the Revolving-Door Superintendency. The School Administrator, 28–31.

Ghosh, S. K. (2002). The Hardy-Weinberg law. In Encyclopedia of Mathematics: Vol. III (pp. 187–188). Helsinki: European Mathematical Society.

Ghosh, S. (2002, October 30). Time Series Models for Zero Inflated Data, U.S. Presented at the Army Conference on Applied Statistics, Raleigh, NC.

Huang, Y., & Ghosh, S. K. (2001). A Conditional Nonparametric Approach to Estimating Survival Functions. 2001 proceedings : papers presented at the Annual Meeting of the American Statistical Association, Joint Statistical Meetings, Atlanta, Georgia, August 5-9, 2001, and other ASA-sponsored conferences. Presented at the American Statistical Association, Atlanta, Georgia.

Ravindran, P., & Ghosh, S. K. (2001). Bayesian Analysis of Circular Data Using Wrapped Distributions. 2001 proceedings : papers presented at the Annual Meeting of the American Statistical Association, Joint Statistical Meetings, Atlanta, Georgia, August 5-9, 2001, and other ASA-sponsored conferences. Presented at the American Statistical Association, Atlanta, Georgia.

Ghosh, S. K., & Sinha, D. (2001). Bayesian Analysis of Interval-censored Survival Data using Penalized Likelihood. Sankhyā: The Indian Journal of Statistics, Series A, 63(1), 1–14.

Ghosh, S. (2001, August 5). Bayesian Capture-Recapture Analysis Allowing for Heterogeneity Between Animals. Presented at the Joint Statistical Meetings, Atlanta, Georgia.

Umbach, A. T., & Ghosh, S. K. (2001). Bayesian Imputation Methods to Measure Quality of Life with Missing Data. 2001 proceedings : papers presented at the Annual Meeting of the American Statistical Association, Joint Statistical Meetings, Atlanta, Georgia, August 5-9, 2001, and other ASA-sponsored conferences. Presented at the American Statistical Association, Atlanta, Georgia.

Ghosh, S. (2001, November). Bayesian Unit Root Tests in Stochastic Volatility Models (SVM). Presented at the Statistics Division, University of Arkansas, Fayetteville, AK.

Ebrahimi, N., & Ghosh, S. K. (2001). Ch. 31. Bayesian and frequentist methods in change-point problems. In Handbook of Statistics (Vol. 20, pp. 777–787). https://doi.org/10.1016/S0169-7161(01)20033-9

Ghosh, S. (2001). Discussion on Bayesian Models for Enhancing Cross-population Comparability of Survey Results. Presented at the World Health Organization (WHO), Geneva, Switzerland.

Ghosh, S. K. (2001). Essential Wavelets for Statistical Applications and Data Analysis. Technometrics, 43(1), 105–105. https://doi.org/10.1198/tech.2001.s557

Ghosh, S. (2001, January). Nonstationary Spatial Modeling for Multiple Point Sources. Presented at the National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC.

Ghosh, S. K., & Sengupta, D. (2001). Testing for proportionality of multivariate dispersion structures using interdirections. Journal of Nonparametric Statistics, 13(3), 331–349. https://doi.org/10.1080/10485250108832856

Ghosh, S. (2000, March 20). Assessing model uncertainty via MCMC. Presented at the Eastern North American Region International Biometric Society Spring Meeting, Chicago, IL.

Ghosh, S. (2000, June 30). Assessing model uncertainty via MCMC. Presented at the International conference on Statistics in the 21st century, Orono, Maine.

Ghosh, S. (2000, September). Bayesian methods and its applications. Presented at the Department of Statistics, North Carolina State University, Raleigh, NC.

Dey, D. K., Ghosh, S. K., & Mallick, B. K. (Eds.). (2000). Generalized Linear Models: A Bayesian Perspective. 5. https://doi.org/10.1201/9781482293456

Gelfand, A. E., Ghosh, S. K., Christiansen, C., Soumerai, S. B., & McLaughlin, T. J. (2000). Proportional hazards models: a latent competing risk approach. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 49(3), 385–397. https://doi.org/10.1111/1467-9876.00199

Padilla, A., & Ghosh, S. K. (2000). Turnover at the Top: The Revolving Door of the Academic Presidency. The Presidency, 3(1), 30–37.

Ghosh, S. (1999, January 4). A Minimum Posterior Predictive Loss Approach. Presented at the Uncertainty '99 meeting, Fort Lauderdale, FL.

Mukhopadhyay, P., & Ghosh, S. K. (1999). Bayesian Analysis of Quality Adjusted Lifetime (QAL) Data. Presented at the American Statistical Association.

Ghosh, S. (1999, July). Bayesian Analysis of Zero-Inflated Regression Models. Presented at the Indian Statistical Institute, Applied Statistics Unit, Calcutta, India.

Ghosh, S. (1999, April). Bayesian Analysis of Zero-Inflated Regression Models. Presented at the Department of Mathematics, Northern Illinois University, DeKalb, IL.

Sinha, D., Chen, M. H., & Ghosh, S. K. (1999). Bayesian analysis and model selection for interval-censored survival data. BIOMETRICS, 55(2), 585–590. https://doi.org/10.1111/j.0006-341X.1999.00585.x

Ghosh, S. (1999, December 19). Computational Bayesian methods for Directional Data. Presented at the International Conference on Statistics, Combinatorics and Related Areas, University of South Alabama, Mobile, AL.

Ghosh, S. (1999, March). Joint Modeling of Survival Data and Repeatedly Measured Covariates: A Bayesian Perspective. Presented at the Department of Statistics, North Carolina State University, Raleigh, NC.

Ghosh, S. (1999, July). Lecture series on Computational Bayesian Data Analysis. Presented at the Indian Statistical Institute, Applied Statistics Unit, Calcutta, India.

Ghosh, S. (1999, April 8). Model Choice: A Minimum Posterior Predictive Loss Approach. Presented at the Joint colloquium of Clemson/University of Georgia, Clemson, SC.

Ghosh, S. K., & Sengupta, D. (1999). On Multivariate Monotonic Measures of Location with High Breakdown Point. Sankhyā: The Indian Journal of Statistics, Series A, 61(3), 362–380.

Padilla, A., & Ghosh, S. K. (1999). On the Tenure of University Presidents. On The Horizon, 7, 5.

Ghosh, S. K., & Gelfand, A. E. (1998). A Latent Risk Approach for Modeling Individual Level Data Consisting of Multiple Event Times. Journal of Statistical Research, 32(1), 23–38.

Ghosh, S. (1998, August 13). Analyzing Real Estate Data Problems using Gibbs Sampler. Presented at the Joint Statistical Meetings, Dallas, TX.

Ghosh, S. (1998, March). Analyzing Real Estate Data Problems using Gibbs Sampler. Presented at the National Institute of Statistical Sciences, Research Triangle Park, NC.

Knight, JR, Sirmans, C. F., Gelfand, A. E., & Ghosh, S. K. (1998). Analyzing real estate data problems using the Gibbs sampler. REAL ESTATE ECONOMICS, 26(3), 469–492. https://doi.org/10.1111/1540-6229.00753

Ghosh, S. (1998, May). Bayesian Analysis of Change-point Hazard Rate Models. Presented at the Conference on Reliability and Survival Analysis, Northern Illinois University, DeKalb, IL.

Ghosh, S. (1998, November). Bayesian Imputation Methods for Missing Data. Presented at the Department of Statistics, North Carolina State University, Raleigh, NC.

Ghosh, S. K., & Gelfand, A. E. (1998). Latent waiting time models for bivariate event times with censoring. Sankhya. Series B, 60(1998), 31–47.

Gelfand, A. E., & Ghosh, S. K. (1998). Model choice: A minimum posterior predictive loss approach. Biometrika, 85(1), 1–11. https://doi.org/10.1093/biomet/85.1.1

Ghosh, S. K. (1998). Review: Linear Models [Review of Linear Models, by B. K. Moser]. Journal of the American Statistical Association, 93(441), 402. https://doi.org/10.2307/2669642

Gelfand, A. E., Ghosh, S. K., Knight, JR, & Sirmans, C. F. (1998). Spatio-temporal modeling of residential sales data. JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 16(3), 312–321. https://doi.org/10.2307/1392507

Ghosh, S. (1997, April). Bayesian Analysis of Zero-inflated Regression Models. Presented at the Department of Statistics, University of Connecticut, Storrs, CT.

Kuo, L., & Ghosh, S. K. (1997). Bayesian Nonparametric Inference for Nonhomogeneous Poisson Processes (Technical Report No. 97-18). Storrs, CT: University of Connecticut.

Ghosh, S. (1997, February 19). Forecasting-based Operational Modeling and Simulation. Presented at the SRC Workshop on Operational Methods in Semiconductor for Manufacturing, Berkeley, California.

Ghosh, S. (1997, April). Latent Waiting Time Models For Bivariate Event Times With Censoring. Presented at the Department of Statistics, University of North Carolina, Chapel Hill, NC.

Dey, D. K., Ghosh, S. K., & Chang, H. (1997). Measuring the effect of observations using the posterior and intrinsic bayes factors with vague prior information. Sankhya. Series A, 59(1997), 376–391.

Langfeldt, S. A., Hughes-Oliver, J. M., Ghosh, S. K., & Young, S. (1997). Optimal Group Testing in the presence of Blockers (Institute of Statistics Mimeographs No. 2297). Raleigh, NC: North Carolina State University.

Ghosh, S. (1997, June 4). Proportional Hazards Models: A Latent Competing Risk Approach. Presented at the VI Seminar on Applied Statistics: Statistics and Population, San Jose, Costa Rica.

Ghosh, S. (1997, October). Spatial Modeling: A Bayesian Approach. Presented at the Department of Statistics, North Carolina State University, Raleigh, NC.

Ghosh, S. (1996, October). Latent Waiting Time Models For Bivariate Event Times With Censoring. Presented at the Institute of Statistics and Decision Sciences, Duke University, Durham, NC.

Ghosh, S. (1996, March). Modeling and Analysis of Multiple Event Survival Data. Presented at the Bellcore Software Engineering and Statistical Modeling Research, Morristown, NJ.

Ghosh, S. K. (1996). Modeling and analysis of multiple-event survival data (Thesis (Ph.D.). University of Connecticut, Storrs, CT.

Dey, D. K., Ghosh, S. K., & Lou, K.-R. (1996). On local sensitivity measures in Bayesian analysis. In Institute of Mathematical Statistics Lecture Notes - Monograph Series (pp. 21–40). https://doi.org/10.1214/lnms/1215453059

Ghosh, S. (1996, October 15). Spatio-Temporal Modeling of Residential Sales data. Presented at the Modeling Longitudinal and Spatially Correlated Data: Methods, Applications, and Future Directions, Nantucket, MA.

Ghosh, S. (1995, August). Sensitivity Diagnostics and Robustness issues in Bayesian Inference. Presented at the American Statistical Association Meetings, Orlando, FL.

Ghosh, S. (1994, August). On Multivariate Monotonic Measures of Location with High Breakdown Point. Presented at the American Statistical Association Meetings, Toronto, Ontario, Canada.

Ghosh, S. K., & Dey, D. K. (1994). Sensitivity Diagnostics and Robustness Issues in Bayesian Inference (Technical Report No. 94-30). Storrs, CT: University of Connecticut.

Ghosh, S. K., & Chandra, T. K. (1993). A Note on Stirling's Approximation (Technical Report No. 93-36). Storrs, CT: University of Connecticut.

Ghosh, S. K., & Bhandari, S. K. (1993). Some Results on Asymptotic Efficiencies of Two-stage Procedures [Technical Report]. Kolkata, India: Indian Statistical Institute.

Ghosh, S. Nonparametric Estimation of the Conditional Mean Residual Life Function. Presented at the 9th International Conference of IMBIC on Mathematical Sciences for Advancement of Science and Technology, Kolkata, India.