Sujit Kumar Ghosh

1996     Ph.D. in Statistics,     University of Connecticut, Storrs, USA.
1992     M.S. in Statistics,      Indian Statistical Institute, Calcutta, India.
1990     B.S. in Statistics,       Indian Statistical Institute, Calcutta, India.

Experience

Jul 2010 -- present      Co-Director of Graduate Programs in Statistics, North Carolina State University.
Dec 2009      Visiting Professor at Thammasat University, Thailand.
May 2009      Visiting Professor at Middle East Technical University, Ankara, Turkey.
Jun 2008 -- Jul 2008      MC-TOK Visiting Professor at Technical University of Crete, Greece.
Dec 2007 -- Jan 2008      Visiting Professor at Thammasat University, Thailand.
Aug 2007 -- present      Full Professor at North Carolina State University.
Aug 2002 -- July 2007    Associate Professor at North Carolina State University.
May 2006 -- June 2006    Visiting Professor at Thammasat University, Thailand.
May 2005 -- June 2005    Visiting Professor at Thammasat University, Thailand.
Jan 2003 -- May 2003     Visiting Associate Professor at National University of Singapore.
Aug 1996 -- July 2002    Assistant Professor at North Carolina State University.
Aug 1993 -- July 1996    Teaching and Research Assistant at University of Connecticut.
Aug 1992 -- July 1993    NBHM Research Fellow at Indian Statistical Institute.

Publications
(in reverse chronological order)

• Papers in refereed journals/book chapters
  1. Mishra, K. and 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 (accepted for publication)
  2. Hughes-Oliver, J. M., Heo, T. Y. and Ghosh, S. K. (2008). An Autoregressive Point Source Model for Spatial Processes, Environmetrics (accepted for publication)
  3. Belasco, E., Goodwin, B. K. Goodwin, Ghosh, S. K. (2008). A Multivariate Evaluation of Ex-ante risks Associated with Fed Cattle Production, American Journal of Agricultural Economics (accepted for publication)
  4. Wang, D. and Ghosh, S.K. (2008). Bayesian Analysis of Random Coefficient Autoregressive Models, Model Assisted Statistical Applications, (accepted for publication)
  5. Devineni, N., Sankarasubramanian, A. and Ghosh, S. K. (2008). Multi-model Ensembling of Probabilistic Streamflow Forecasts: Role of Predictor State Space in Skill Evaluation, Water Resources Research (accepted for publication)
  6. White, G. and Ghosh, S. K. (2008). A Stochastic neighborhood Conditional Auto-Regressive Model for Spatial Data, Computational Statistics and Data Analysis (accepted for publication)
  7. Kalaylioglu, Z. I. and Ghosh, S. K. (2008). Bayesian Unit-root Tests for Stochastic Volatility Models, Statistical Methodology (accepted for publication)
  8. Ghosh, S. K. and Ebrahimi, N. (2008). Bayesian Analysis of Change-point Hazard rate Problem, Journal of Statistical Theory and Practice (accepted for publication)
  9. Ozaki, V. Ghosh, S. K. and Goodwin, B. (2008). Spatio-temporal Modeling of Agricultural Yield Data with an Application to Pricing Crop Insurance Contracts, American Journal of Agricultural Economics (accepted for publication)
  10. Richards, S. L., Ghosh, S. K., Zeichner, B. C. and Apperson, C. S. (2008). Impact of Source Reduction on the Spatial Distribution of Larvae and Pupae of Ades Albopictus (Diptera: Culicide) in Suburban Neighborhoods of a Piedmont Community in North Carolina, Journal of Medical Entomology (accepted for publication)
  11. Song, H. R., Fuentes, M. and Ghosh, S. K. (2008). A Comparative Study of Gaussian Geostatistical and Gaussian Markov Random Field Models, Journal of Multivariate Analysis (accepted for publication)
  12. Lee, H. and Ghosh, S. K. (2008). A Reparametrization Approach for Dynamic Space-Time Models, Journal of Statistical Theory and Practice (accepted for publication)
  13. Lee, H. and Ghosh, S. K. (2008). Performance of Information Criteria in Selecting Spatial Models, Journal of Statistical Computation and Simulation (accepted for publication)
  14. Webster, R. A., Pollock, K. and Ghosh, S. K. (2008). Bayesian Spatial Modeling of Data from Unit-count Surveys of Fish in Streams, Transactions of the American Fisheries Society, 137, 438-453.
  15. Ghosh, S. K. and Mukhopadhyay, P. (2007). Bayesian Analysis of Quality Adjusted Lifetime (QAL) data, Journal of Statistical Theory and Practice, 2, 233-251.
  16. Ghosh, S. K. and Kim H. (2007). Semiparametric Inference Based on a Class of Zero-altered Distributions, Statistical Methodology 4, 371-383.
  17. Park, J., Genton, M. and Ghosh, S. K. (2007). Censored Time Series Analysis with Autoregressive Moving Average Models, Canadian Journal of Statistics, 35, 151-168.
  18. Li, H., Ghosh, S. K., Amerson, H. and Li, B. (2006). Major Gene Detection for Fusiform Rust Resistance using Bayesian Complex Segregation Analysis in Loblolly Pine, Theoretical and Applied Genetics, 35, 151-168.
  19. Jeong, M. K., Lu, J. C., Zhou, W. and Ghosh, S. K. (2006). Data-reduction Method for Spatial Data Using a Structured Wavelet Model, International Journal of production Research, 45, 2295-2311.
  20. Richards, S. L., Apperson, C. S., Ghosh, S. K. and Cheshire, H. M. (2006). Spatial Analysis of Ades Albopictus (skuse) Oviposition in Suburn Neighborhoods of a Piedmont Community in North Carolina, Journal of Medical Entomology, 43, 976-989.
  21. Fuentes, M., Song, H. R., Ghosh, S.K., Holland, D. and Davis, J. M. (2006). Spatial Association Between Speciated Fine Particles and Mortality, Biometrics, 62, 855-863.
  22. Schlosser, P. M. Borghoff, S.J., Nicholas, C. G., David, J. A. and Ghosh, S. K. (2006). Physiologically Based Pharmacokinetic Modeling of Genistein in Rats, Part I: Model development, Risk Analysis, 26, 483-500.
  23. Ghosh, S. K. and Ghosal S. (2006) Semiparametric Accelerated Failure Time Models for Censored Data, Bayesian Statistics and Its Applications (Eds. Upadhyay, Sing and Dey), 15, 213-229.
  24. Ghosh, S. K., Mukhopadhyay, P. and Lu, J. C. (2006). Bayesian Analysis of Zero-Inflated Regression Models, Journal of Statistical Planning and Inference, 136, 1360-1375.
  25. Huggins, W., Ghosh, S. K., Nanda, K. and Wollenzien, P. (2005). Internucleotide movements during formation of RNA-RNA photocrosslinkings in the 30S ribosome and their connection to the 30S subunit conformational dynamics, Journal of Molecular Biology, 354, 358-374.
  26. Sinha, D. and Ghosh, S.K. (2005). Multiple events time data: A Bayesian recourse, Handbook of Statistics, 25, 891-906.
  27. Ghosh, S. K. and Norris, J. (2005). Bayesian capture-recapture analysis of a closed population allowing for heterogeneity between animals, Journal of Agricultural Biological and Environmental Statistics, 10, 35-49.
  28. Zaykin, D. V., Meng, Z. and Ghosh, S. K. (2004). Interval estimation of genetic susceptibility for retrospective case-control studies, Central Genetics, 5:9, 1471-1521.
  29. Zeng, W., Ghosh, S. K. and Li B. (2004). A Blocking Gibbs sampling method to detect major genes affecting a quantitative trait for diallel mating design, Genetical Research, 83, 143-154.
  30. Ghosh, S.K. (2003). Affinity maturation of the humoral immune response: A Bayesian Approach, Journal of Agricultural Biological and Environmental Statistics, 8, 367-382.
  31. Natkin J., Cooper, B., Alborano, J., Padilla, A. and Ghosh, S.K. (2002). Predicting and modeling superintendent turnover, Journal of School Leadership, 13, 328-346.
  32. 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.
  33. Ghosh, S.K. (2002). The Hardy-Weinberg law, Encyclopedia of Mathematics, III, 187-188.
  34. Natkin J., Cooper, B., Fusarelli L., Alborano, J., Padilla, A. and Ghosh, S. K. (2002). Myth of the revolving-door superintendency, The School Administrator, 5, 28-31.
  35. Ghosh, S. K. and Sengupta, D. (2001). Testing for proportionality of multivariate dispersion structures using interdirections, Journal of Nonparametric Statistics, 13, 331-349.
  36. Ebrahimi, N. and Ghosh, S. K.(2001). Bayesian and frequentist methods in change point problems, Handbook of Statistics on Advances in Reliability, eds. N. Balakrishnan and C.R. Rao, 20, 777-787.
  37. Ghosh, S. K. and Sinha, D. (2001). Bayesian analysis of interval-censored survival data using penalized likelihood, Sankhya A, 63, 1-14.
  38. Padilla, A. and Ghosh, S. K. (2000). Turnover at the top: The revolving door of the academic presidency, The Presidency, 3, 30-37.
  39. Gelfand, A. and Ghosh, S. K., Christiansen C., Soumerai, S. B. and McLaughlin, T. J. (2000). Proportional hazards models: A latent competing risk approach, Journal of Royal Statistical Society, series C (Applied Statistics), 49, 385-397.
  40. Padilla, A. and Ghosh, S. K. (1999). On the tenure of university presidents, On The Horizon, 7, 5.
  41. Ghosh, S.K. and Sengupta, D.(1999). On multivariate monotonic measures of location with high breakdown point, Sankhya A, 61, 362-380.
  42. Sinha, D., Chen, M. H. and Ghosh, S. K.(1999). Bayesian analysis and model selection for interval-censored survival data, Biometrics, 171-177.
  43. Knight, J. R., Sirmans, C. F., Gelfand, A. E. and Ghosh, S. K. (1998). Analyzing real estate data problems using the Gibbs sampler, Real Estate Economics, 26, 469-492.
  44. Ghosh, S. K. and Gelfand, A. E. (1998). A latent risk approach for modeling individual level data consisting of multiple event times, Journal of Statistical Research, 32, 23-39.
  45. Ghosh, S. K. and Gelfand, A. E. (1998). Latent waiting time models for bivariate event times with censoring, Sankhya B, 60, 31-47.
  46. Gelfand, A. E., Ghosh, S. K., Knight, J. R. and Sirmans, C. F. (1998). Spatio-temporal modeling of residential sales data, Journal of Business and Economic Statistics, 16, No.3, 312-321.
  47. Gelfand, A. E. and Ghosh, S. K. (1998). Model choice: A minimum posterior predictive loss approach, Biometrika, 85, 1-11.
  48. Dey, D.K., Ghosh, S. K. and Chang, H. (1997). Measuring the effect of observations using the posterior and intrinsic Bayes factors with vague prior information, Sankhya A, 59, 376-391.
  49. Dey, D.K., Ghosh, S. K. and Lou, K.R. (1997). On local sensitivity measures in Bayesian analysis (with discussion), IMS Lecture Notes, 29, 21-39.

• Books and Edited volumes
  1. Dey, D. K., Ghosh, S. K. and Mallick, B. K. (2000). Generalized Linear Models: A Bayesian perspective, Marcel Dekker Inc., New York. (ISBN: 0-8247-9034-0)

• Book reviews in journals
  1. Ghosh, S. K. (2001). Book review of ``Essential Wavelets for Statistical Applications and Data Analysis (author: R. Todd Ogden)," Technometrics, 43, 486.
  2. Ghosh, S. K. (1998). Book review of ``Linear Models: A Mean Model Approach (author: B. K. Moser)," Journal of the American Statistical Association, 93, 402.

• Papers in Proceedings
  1. Krishna, A. Ghosh, S. K. and Bondell, H. (2007). A Variable Selection Method for Linear Models using Modified Zellner's Prior, Joint Statistical Meetings Proceedings.
  2. Liu, S. and Ghosh, S. K. (2007). Nonparametric Estimation of Mean Residual Life Function, Joint Statistical Meetings Proceedings.
  3. Anand, S. and Ghosh, S. K. (2007). A Bayesian Approach to Assessing the Risk of QT Prolongation, Joint Statistical Meetings Proceedings.
  4. Mishra, K. and Ghosh, S. K. (2007). Bayesian Estimation of Scram Rate Trends in Nuclear Power Plants, Joint Statistical Meetings Proceedings.
  5. Ghosh, S. K. and Zhu, L. (2007). A Joint Modeling Approach for Analyzing Nonignorable Missing Data, Joint Statistical Meetings Proceedings.
  6. Goyal L. and Ghosh, S. K. (2006). Statistical Inference for Nonlinear Models Involving Ordinary Differential Equations, Joint Statistical Meetings Proceedings.
  7. Kern, J., Bernini, N. and Ghosh, S. K. (2006). A hierarchical Bayesian Analysis of Longitudinal Frequency Data Using Piecewise Linear Regression, Joint Statistical Meetings Proceedings.
  8. Zhu L., Ghosh, S. K. and Ghosal, S. (2006). Bayesian Modeling of Longitudinal Data with Nonignorable Missing Data, Joint Statistical Meetings Proceedings.
  9. Ghosh, S. K. and Goyal L. (2006). Bayesian Inference for NLME Models Involving ODEs, Joint Statistical Meetings Proceedings.
  10. Gosky, R. and Ghosh, S. K. (2006). Bayesian Analysis and Model Selection in Closed-Population, Capture-Recapture Models, Joint Statistical Meetings Proceedings.
  11. Mukhopadhyay, P., Berger, R. and Ghosh, S. K. (2005). Comparison of Exact, Approximate and Bayesian Tests for Testing the Hypothesis of Efficacy, Joint Statistical Meetings Proceedings.
  12. Goyal, L. and Ghosh, S. K. (2005). Bayesian Inference for Nonlinear Models Involving Ordinary Differential Equations, Joint Statistical Meetings Proceedings.
  13. Ghosh, S. K. (2004). Semiparametric Regression Models for Zero-inflated Data, Joint Statistical Meetings Proceedings.
  14. Park, J., Ghosh, S. K. and Genton, M. G. (2004). Analyzing censored data based on autoregressive models, Joint Statistical Meetings Proceedings.
  15. Ghosh, S. K. (2003). Bayesian Analysis of Zero Inflated Models for ted Data, Joint Statistical Meetings Proceedings Proceedings.
  16. Ravindran, P. and Ghosh, S. K. (2003). Bayesian Methods for Circular Time Series Using Wrapped Distributions, Joint Statistical Meetings Proceedings.
  17. Heo, T. Y., Hughes-Oliver, J. M. and Ghosh, S. K. (2003). Point Source Modeling Using a Bayesian Hierarchical Nonstationary Spatial Model, Joint Statistical Meetings Proceedings.
  18. Kalaylioglu, Z., Pantula, S. G. and Ghosh, S. K. (2003). Frequentist Unit Root Tests in Stochastic Volatility Models, Joint Statistical Meetings Proceedings .
  19. Lee, H. and Ghosh, S. K. (2003). A Robustness Study for Cost-Effectiveness Study, Joint Statistical Meetings Proceedings.
  20. Ghosh, S. K. and Wang, D. (2002). Bayesian Analysis of Random Coefficient Autoregressive Models, Joint Statistical Meetings Proceedings.
  21. Kalaylioglu, Z. and Ghosh, S. K. (2002). Bayesian Unit-root Tests in Stochastic Volatility Models, Joint Statistical Meetings Proceedings.
  22. Ravindran, P. and Ghosh, S. K. (2001). Bayesian Analysis of Circular Data Using Wrapped Distributions, American Statistical Association Proceedings.
  23. Huang, Y. and Ghosh, S. K. (2001). A Conditional Nonparametric Approach to Estimating Survival Functions, American Statistical Association Proceedings.
  24. Umbach, A. T. and Ghosh, S. K. (2001). Bayesian Imputation Methods to Measure Quality of Life with Missing Data, American Statistical Association Proceedings.
  25. Mukhopadhyay, P. and Ghosh, S. K. (1999). Bayesian Analysis of Quality Adjusted Lifetime (QAL) Data, American Statistical Association Proceedings, 145-149.

• Technical Reports (unpublished)
  1. Anand, S. and Ghosh, S. K. (2007). A Bayesian Approach to Assessing the Risk of QT Prolongation, Institute of Statistics Mimeograph# 2600, North Carolina State University.
  2. Kyung, M. and Ghosh, S, K. (2007). Maximum Likelihood Estimation for Directional Conditionally Autoregressive Models, Institute of Statistics Mimeograph# 2597, North Carolina State University.
  3. Sankarasubramanian, A. Devineni, N. and Ghosh, S. K. (2006). Multi-model Ensembling of Probabilistic Streamflow Forecasts: Role of Predictor State Space in Skill Evaluation, Institute of Statistics Mimeograph# 2595, North Carolina State University.
  4. Wang, D. and Ghosh, S. K. (2004). Bayesian Analysis of Random Coefficient AutoRegressive Models, Institute of Statistics Mimeograph# 2566, North Carolina State University.
  5. Ravindran, P. and Ghosh, S. K. (2004). Bayesian Analysis of Circular Data Using Wrapped Distributions, Institute of Statistics Mimeograph# 2564, North Carolina State University.
  6. Ghosh, S. K. and Ghosal, S. (2004). Proportional Mean Regression Models for Censored Data, Institute of Statistics Mimeograph# 2563, North Carolina State University.
  7. Hughes-Oliver, J. M., Heo, T.-Y., and Ghosh, S. K. (2003). An Autoregressive Point Source Model for Spatial Process, Institute of Statistics Mimeographs# 2548, North Carolina State University.
  8. Ghosh, S. K. and Ebrahimi. N. (2001). Bayesian Analysis of the Mixing Function in a Mixture of Two Exponential Distributions, Institute of Statistics Mimeographs# 2531, North Carolina State University.
  9. Kuo, L. and Ghosh, S. K. (1997). Bayesian Nonparametric Inference for Nonhomogeneous Poisson Processes, Technical Report# 97-18, University of Connecticut.
  10. Langfeldt, S.A., Hughes-Oliver, J. M., Ghosh, S. K. and Young, S. (1997). Optimal Group Testing in the presence of Blockers, Institute of Statistics Mimeographs# 2297, North Carolina State University.
  11. Ebrahimi, N., Gelfand, A., Ghosh, M. and Ghosh S.K. (1997). Bayesian Analysis of Change-Point Hazard Rate Models, Technical Report# 97-08, University of Connecticut.
  12. Ghosh, S. K. and Dey, D. K. (1994). Sensitivity Diagnostics and Robustness Issues in Bayesian Inference, Technical Report# 94-30, University of Connecticut.
  13. Ghosh, S. K. and Chandra, T. K. (1993). A Note on Stirling's Approximation, Technical Report# 93-36, University of Connecticut.
  14. Ghosh, S. K. and Bhandari, S. K. (1993). Some Results on Asymptotic Efficiencies of Two-stage Procedures, Technical report, Indian Statistical Institute.

1. Dec 15, 2007 - Nov 30, 2010 National Institute of Health (R01ES014843-01A2): $333,280
   A Spatial-Temporal Modeling Approach For Environmental Epidemiological Data
   (Co-PI with M. Fuentes, C. Frey, D. Shea and A. Gelfand)
2. Sep 15, 2007 - Sep 14, 2012 National Science Foundation (DMS-0703392): $769,288
   CSUMS: NC State University Computation For Undergraduates in Statistics Program (CUSP)
   (PI, other Co-PIs: M. Gumpertz, S. Pantula and H. Zhang)
3. Aug 07, 2007 - Nov 06, 2008 Center for Disease Control (200-2007-M-22368): $50,000
   Anomaly Detection in Space and Time
   (PI)
4. Aug 1, 2002 - Dec 31, 2003 Environmental Protection Agency (CoOp-533246): $129,855
   Statistical Methodology for Spatial Modeling and Interpolation of Air and Deposition Pollutants
   (Co-PI with M. Fuentes and D. Boos)
5. Oct 1, 2000 - Sep 30, 2003 National Science Foundation (DMS-0084378): $200,000
   Nonstationary Spatial Modeling for Multiple Point Sources, with Applications to Environmental Data
   (Co-PI with J. M. Hughes-Oliver)
6. Oct 1, 2001 - Mar 31, 2002 U.S. Census Bureau (533141): $236,430
   Triple System Estimation for Population Size
   (Co-investigator with S. G. Pantula, K. Pollack and L. Stefanski)
7. Jun 1, 1998 - May 31, 1999 National Science Foundation (DMS-9803767): $69,375
   Modeling and Estimation of Electronics and Semiconductor Products
   (Co-PI with J. C. Lu, J. M. Hughes-Oliver and W. C. Holton)

• 2008: Recipient of the International Indian Statistical Association Young Investigator Award
• 2008 -- Associate Editor of Journal of the American Statistical Association - Theory & Methods
• 2007 -- 2009: Elected Member of American Statistical Association Committee on Meetings
• 2007 -- present: Associate Editor of Model Assisted Statistics and Applications - Bayesian Statistics
• 2006 -- present: Associate Editor of Journal of the American Statistical Association - Applications & Case Studies
• 2001 -- 2003: Elected Vice President of the NC State Chapter of Sigma Xi Honor Society.
• 2001: Recipient of the NSF Travel Award to attend Bernoulli conference, Havana, Cuba.
• 2000: Recipient of the NSF Travel Award to attend IMS conference, Guanjuato, Mexico.
• 1999 -- 2001: Associate Editor of the ISBA Newsletter - Applications.
• 1998: Elected member of Sigma Xi Honor Society.
• 1995: Recipient of NSF Travel Award to attend conference on Bayesian Robustness, Rimini, Italy.
• 1993: Recipient of the NBHM Research Scholarship, Indian Statistical Institute.
• 1987 -- 1992: Recipient of Indian Statistical Institute Merit Awards.

• Invited Talks, Seminars and Lecture Series
  1. Bayesian Biostatistics: one-day workshop, Indian Association for Statistics in Clinical trials, GlaxoSmithKline, Bangalore, India, January 7, 2008.
  2. A Class of Kernel-based CAR Models for Spatial Data, International Conference on Statistical Paradigms, Indian Statistical Institute, Kolkata, India, January 2, 2008.
  3. Monte Carlo Statistical Methods: a short course, Thammasat University, Department of Mathematics and Statistics, Rangsit, Thailand, December 17-29, 2007.
  4. Application of nonlinear mixed models involving ODEs in biomedical sciences, department of Statistics, University of Maryland at Baltimore County, Baltimore, MD, November 2, 2007.
  5. Spatial Association between Speciated Fine Particles and Mortality, The 17th Annual Conference of the International Society of Exposure Analysis, Durham, NC, October 18, 2007.
  6. A Joint Modeling Approach for Analyzing Non-ignorable Missing Data, International Conference on Advances in Interdisciplinary Statistics and Combinatorics, Greensboro, NC, October 12-14, 2007.
  7. Spatial Association Between Speciated Fine Particles and Mortality, statGIS Conference, Klagenfurt, Austria, September 24-26, 2007.
  8. Spatial Association between Speciated Fine Particles and Mortality, Office of Research and Methodology and Washington Statistical Society Seminar, NCHS, June 21, 2007.
  9. Bayesian Methods for Nonlinear Mixed Models: a short course, Glaxo-Smith-Kline Inc, RTP, NC, May 31 - June 5, 2007.
  10. A Class of Kernel-based CAR Models for Spatial Data, Spring Lecture Series on Spatial and Spatio-temporal Methods, Fayetteville, AR, April 14, 2007.
  11. Application of Nonlinear Mixed Effects Models in Biomedical Sciences, Statistics Seminar at Glaxo-Smith-Kline Inc., Research Triangle Park, NC, January 29, 2007.
  12. A Joint Modeling Approach for Analyzing Nonignorable Missing Data, Department of Biostatistics, University of Alabama, Birmingham, AL, November 9, 2006.
  13. Bayesian Variable Selection Methods, Bayesian Statistics Working Group, NC State University, Raleigh, NC, October 3, 2006.
  14. Bayesian Inference for NLME Models Involving ODEs, Joint Statistical Meetings, Seattle, WA, USA, August 8, 2006.
  15. Spatial Statistics: a short course, Thammasat University, Department of Mathematics and Statistics, Rangsit, Thailand, June 1-15, 2006.
  16. Application of Nonlinear Mixed Effects Models in Biomedical Sciences, Statistics Conference, Pattaya, Thailand, May 25, 2006.
  17. Bayesian Methods in Environmental Science: A Brief Introduction, NCSU Student Chapter of the Air & Waste Management Association, Raleigh, NC, February 15, 2006.
  18. Bayesian Unit Root Tests for Random Coefficient Autoregressive Models, Seminar on Bayesian Inference in Econometrics and Statistics (SBIES), Washington University, Saint Louis, MO, August 1-2, 2005.
  19. An overview of Bayesian inference and MCMC methods, Thammasat University, Department of Mathematics and Statistics, Rangsit, Thailand, May 30, 2005.
  20. Bayesian capture-recapture analysis of a closed population allowing for heterogeneity between animals, Penn State University, Department of Statistics, State College, PA, May, 2005.
  21. Semiparametric Bayesian Analysis of AFT Models, University of Florida, Department of Statistics, Gainesville, FL, October 21, 2004.
  22. Bayesian capture-recapture analysis of a closed population allowing for heterogeneity between animals, Wake Forest University, Department of Mathematics, Wake Forest, NC, September 23, 2004.
  23. Semiparametric Bayesian Analysis of AFT Models, BHU Workshop and Conference on Bayesian Statistics, Varanasi, India, January 7, 2005.
  24. Semiparametric Regression Models for Zero-inflated Data, Joint Statistical Meetings, Toronto, Canada, August 11, 2004.
  25. Semiparametric Bayesian Inference based on AFT models, Southern Regional Council of Statistics Summer Research Conference, Blacksburg, VA, June 7, 2004.
  26. Unit Root Tests for Random Coefficient Autoregressive Models,, 5th Biennial International Conference on Statistics Probability and Related Areas, Athens, GA, May 15, 2004.
  27. Proportional Mean Regression Models for Censored Data, University of Georgia, Department of Statistics, Athens, GA, November 13, 2003.
  28. Bayesian Methods in Environmental Science: An introduction, North Carolina State University, Department of Statistics, Raleigh, NC, October 31, 2003.
  29. Bayesian analysis of random coefficient autoregressive models, SAMSI workshop on Challenges in Stochastic Computation, RTP, NC, June 26-28, 2003.
  30. Nonstationary Spatial Modeling for Multiple Point Sources, ENAR Spring meeting, Tampa, FL, March 30 - April 2, 2003.
  31. Nonstationary Spatial Modeling for Multiple Point Sources, National University of Singapore, DSAP, Republic of Singapore, March 12, 2003.
  32. Time Series Models for Zero Inflated Data, U.S. Army Conference on Applied Statistics, Raleigh, NC, October 30-31, 2002.
  33. Modeling Nonstationary Time Series using Link Functions, Joint Statistical Meetings, New York, NY, August 11-14, 2002.
  34. Lecture series on Bayesian Wavelets methods for Data Compression, DPS Technologies Inc., Kolkata, India, July 01-15, 2002.
  35. Bayesian Analysis of Capture-Recapture Models, North Carolina State University, Department of Statistics, Raleigh, NC, April 26, 2002.
  36. Bayesian Analysis of Capture-recapture Models, Purdue University, Department of Statistics, West Lafayette, IN, March 29, 2002.
  37. Bayesian Capture-Recapture Analysis with Time and Heterogeneity Effects, Multiple System Estimation Meeting, U.S. Census Bureau, Suitland, MD, January 10, 2002.
  38. Bayesian Unit Root Tests in Stochastic Volatility Models (SVM), University of Arkansas, Statistics Division, Fayetteville, AK, November 29, 2001.
  39. Discussion on Bayesian Models for Enhancing Cross-population Comparability of Survey Results, World Health Organization (WHO), Geneva, Switzerland, Oct 28 - Nov. 02, 2001.
  40. Bayesian Capture-Recapture Analysis Allowing for Heterogeneity Between Animals, Joint Statistical Meetings, Atlanta, GA, August 5-9, 2001.
  41. Nonstationary Spatial Modeling for Multiple Point Sources, National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, January 25, 2001.
  42. Bayesian methods and its applications, North Carolina State University, Department of Statistics, Raleigh, NC, September 22, 2000.
  43. Assessing model uncertainty via MCMC, International conference on Statistics in the 21st century, Orono, Maine, June 30, 2000.
  44. Assessing model uncertainty via MCMC, ENAR Spring Meeting, Chicago, IL, March 20, 2000.
  45. Computational Bayesian methods for Directional Data, International Conference on Statistics, Combinatorics and Related Areas, University of South Alabama, Mobile, AL, December 19, 1999.
  46. Bayesian Analysis of Zero-Inflated Regression Models, Indian Statistical Institute, Applied Statistics Unit, Calcutta, India, July 13, 1999.
  47. Lecture series on Computational Bayesian Data Analysis, Indian Statistical Institute, Applied Statistics Unit, Calcutta, India, July 01 - July 15, 1999.
  48. Model Choice: A Minimum Posterior Predictive Loss Approach, Joint colloquium of Clemson/UGA, Clemson, SC, April 8, 1999.
  49. Bayesian Analysis of Zero-Inflated Regression Models, Northern Illinois University, Department of Mathematics, DeKalb, IL, April 01, 1999.
  50. Joint Modeling of Survival Data and Repeatedly Measured Covariates: A Bayesian Perspective, North Carolina State University, Department of Statistics, Raleigh, NC, March 25, 1999.
  51. A Minimum Posterior Predictive Loss Approach, Uncertainty '99 meeting, Ft. Lauderdale, FL, January 04, 1999.
  52. Bayesian Imputation Methods for Missing Data, North Carolina State University, Department of Statistics, Raleigh, NC, November 19, 1998.
  53. Analyzing Real Estate Data Problems using Gibbs Sampler, Joint Statistical Meetings, Dallas, TX, August 13, 1998.
  54. Bayesian Analysis of Change-point Hazard Rate Models, Conference on Reliability and Survival Analysis, Northern Illinois University, DeKalb, May, 1998.
  55. Analyzing Real Estate Data Problems using Gibbs Sampler, National Institute of Statistical Sciences, Research Triangle Park, NC, March, 1998.
  56. Spatial Modeling: A Bayesian Approach, North Carolina State University, Department of Statistics, Raleigh, NC, October 3, 1997.
  57. Bayesian Analysis of Zero-inflated Regression Models, University of Connecticut, Department of Statistics, Storrs, April, 1997.
  58. Latent Waiting Time Models For Bivariate Event Times With Censoring, University of North Carolina, Department of Statistics, Chapel Hill, April, 1997.
  59. Latent Waiting Time Models For Bivariate Event Times With Censoring, Duke University, Institute of Statistics and Decision Sciences, Durham, October, 1996.
  60. Modeling and Analysis of Multiple Event Survival Data, Bellcore, Software Engineering and Statistical Modeling Research, Morristown March 21, 1996.
  61. Modeling and Analysis of Multiple Event Survival Data, University of Michigan Business School, Department of Statistics and Management, Ann Arbor, March 18, 1996.

• Contributed Talks
  1. Proportional Mean Regression Models for Censored Data, Eastern North American Region Meetings, Pittsburgh, PA, March 29, 2004.
  2. Bayesian Analysis of Zero-inflated Models for Correlated Data, Joint Statistical Meetings, San Francisco, CA, August 2-7, 2003.
  3. Proportional Hazards Models: A Latent Competing Risk Approach, VI Seminar on Applied Statistics: ``Statistics and Population", San Jose, Costa Rica, June 4-7, 1997.
  4. Forecasting-based Operational Modeling and Simulation SRC Workshop on Operational Methods in Semiconductor for Manufacturing, Berkeley, California, February 19-20, 1997.
  5. Spatio-Temporal Modeling of Residential Sales data Modeling Longitudinal and Spatially Correlated Data: Methods, Applications, and Future Directions, Nantucket, MA, October 15-18 1996.
  6. Sensitivity Diagnostics and Robustness issues in Bayesian Inference, American Statistical Association Meetings, Orlando, August, 1995.
  7. On Multivariate Monotonic Measures of Location with High Breakdown Point, American Statistical Association Meetings, Toronto, August, 1994.

1. Emily H. Griffith (2008) Catch Curve and Capture Recapture Models: A Bayesian Combined Approach, Patuxent Wildlife Research Center (co-adviser Dr. K. Pollock)
2. Shufang Liu (2007). Mean Residual Life Regression Models Based on Scale Mixtures, PRA Inc.
3. Minjung Kyung (2006). Generalized Conditional Autoregressive Models for Spatial Data, NC State University.
4. Liansheng Zhu (2006). Analyzing Longitudinal Data with Nonignorable Missing Outcomes, PPD Inc., NC, USA. (co-advisor Dr. S. Ghosal)
5. Lovely Goyal (2006). Statistical Inference for Nonlinear Mixed Effects Models Involving Ordinary Differential Equations, North Carolina State University.
6. Hyeyoung Lee (2006). Reparametrized Dynamic Space-time Models and Spatial Model Selection, North Carolina State University.
7. Hae-Ryoung Song (2005). Associations Between Gaussian Markov Random Fields and Geostatistical Models with an Application to Estimating Health Effects Due to Air Pollution, North Carolina State University. (co-advisor M. Fuentes)
8. Jungwook Park (2005). Statistical Analysis of Correlated Data based on Censored Observations, North Carolina State University. (co-advisor Dr. M. G. Genton)
9. Ross M. Gosky (2004). Bayesian Analysis and Matching Errors in Closed Population Capture Recapture Models, North Carolina State University. (co-advisor Dr. L. A. Stefanski)
10. Dazhe Wang (2003). Bayesian and Frequentist Analysis of Random Coefficient Autoregressive Models, North Carolina State University. (co-advisor Dr. S. G. Pantula)
11. Amy T. Umbach (2002). Bayesian Inference for Quality of Life Models with Missing Data, North Carolina State University.
12. Palanikumar Ravindran (2002). Bayesian Inference for Wrapped Distributions, North Carolina State University.
13. Zeynep Isil Kalaylioglu (2002). Bayesian and Frequentist Unit Root Test for Stochastic Volatility Models (SVM), North Carolina State University. (co-advisor Dr. S. G. Pantula)
14. Pabak Mukhopadhyay (2000). Bayesian Analysis of Quality Adjusted Lifetime (QAL) and Zero-inflated Poisson (ZIP) Data, North Carolina State University. (co-advisor Dr. A. Tsiatis)
15. Weixin Zhou (1998). Structured Wavelet Antenna Signal Modeling and Random Scale Generalized Linear Model, North Carolina State University. (co-advisor Dr. J. C. Lu)

1. ST 370: Probability and Statistics for Engineers
   (Fall 1996, Spring 1997, Fall 1999, Spring 2000)
2. ST 370 Online: Probability and Statistics for Engineers
   (Fall, 1998)
3. ST 372: Introduction to Statistical Inference & Regression
   (Summer-II, 2000, 2004, 2005, 2006)
4. ST 421: Introduction to Mathematical Statistics-I
   (Fall 2000)
5. ST 422: Introduction to Mathematical Statistics-II
   (Spring 2000, 2001, 2002)
6. ST 495B: Practicum in Bayesian Inference
   (Fall 2005)
7. ST 511: Experimental Statistics for Biological Sciences I
   (Fall 2001)
8. ST 521: Statistical Theory - I
   (Fall 2005, 2007)
9. ST 591A: MCMC: Theory and Applications
   (Spring 1998)
10. ST 733: Applied Spatial Statistics
    (Spring 2005)
11. ST 740: Introduction to Bayesian Inference
    (Fall 2001, 2002, 2003, 2005, 2006, 2007)
12. ST 794: Advanced Statistical Inference - II
    (Spring 2004, 2005, 2006, 2007, 2008)
13. ST 810: Computational Bayesian Data Analysis
    (Spring 1999, 2000)

• Statistical Consulting
  1. Client: Talecris Inc.
     Project: Statistical models for time-lapsed stability data to predict the shelf-life potency of a new product (January 2008 - present).
  2. Client: Agri-Analytics
     Project: Statististical critique on comparing biotech (BT) corn with conventional non-traited (NT) variety of corn (August, 2007).
  3. Client: MESO Inc.
     Project3: Construct different approaches to model output statistics (MOS) (June-August, 2007).
     Project2: Survey different methods of ensemble-based forecast confidence intervals (June-August, 2007).
     Project1: Establish a method of calculating most probable conditional value at individual farms given an 80\% probability of exceedance of the aggregate of some wind farms, (February-March, 2007).
  4. Client: GlaxoSmithKline Inc.
     Project: Develop efficient computational methods to fit nonlinear mixed effects models involving ordinary differential equations (January 2007 - January 2008).
  5. Client: Department of Entomology, North Carolina State University
     Project: Spatial analysis of the distributions of ades albopictus (skuse) larval and pupal production in suburban neighbors of piedmont community in North Carolina, (February 2005 - present).
  6. Client: Department of Economics, North Carolina State University
     Project: Bayesian modeling of spatio-temporal processes affecting crop yields (May 2004 - present).
  7. Client: CIIT and EPA
     Project: Physiologically based pharmacokinetic modeling of genistein in rats, (Jan 2004 - present).
  8. Client: Department of Molecular Biology, North Carolina State University
     Project: Determination of RNA structure and dynamics by photocrosslinking (Dec 2003 - present).
  9. Client: BAYER
     Project: Develop statistical models for bioassay problems (February, 2002 - August 2004).
  10. Client: DPS Technologies Inc.
      Project: Develop statistical models for audio data compression (March, 2001 - April, 2003).
  11. Client: World Health Organization (WHO)
      Project: Models for enhancing cross-population comparability of survey results (November, 2001).
  12. Client: SLATS Team and College of Management, North Carolina State University
      Project: Statistical estimation of the tenure of US school superintendents (April, 2001 - March 2002).
  13. Client: College of Management, North Carolina State University
      Project: Statistical estimation of the tenure of US university presidents (September 1998 - October, 2000).
  14. Client: Center for Real Estate, University of Connecticut
      Project: Develop statistical models for residential sales data (Jun-July, 1995-1996).

• Organizer and Chair
  • Chair of the invited session ``Theory and Methods," StatGIS 2007 Conference, Klagenfurt, Austria, September 26, 2007.
  • Chair of the topic contributed session ``Methodological Issues in Engineering Applications of Computer Models: A SAMSI Program," Joint Statistical Meetings, Saltlake City, UT, August 2, 2007.
  • Organizer of the topic contributed session ``Bayesian Methods in Industrial Applications," Joint Statistical Meetings, Saltlake City, UT, August 2, 2007.
  • Organizer of the topic contributed session ``Recent Developments in Bayesian Variable Selection Methods," Joint Statistical Meetings, Saltlake City, UT, July 30, 2007.
  • Chair of the contributed session, "Mixture Models and Misspecified Models," Joint Statistical Meetings, Seattle, WA, August 07, 2006.
  • Organizer of the topic contributed session, "Bayesian Computational Methods for Biomedical Applications," Joint Statistical Meetings, Seattle, WA, August 08, 2006.
  • Chair of the invited session, "Bayesian Methods in Reliability Models," BHU Conference on Bayesian Statistics, Varanasi, India, January 6-9, 2005.
  • Chair of the contributed session, "Bayesian Methods in Health and Health Policy," Joint Statistical Meetings, San Francisco, CA, August 2-7, 2003.
  • Organizer and Chair of the invited session, "Health Effects and Environmental Risk Assessment of Air Pollution," ENAR Spring Meeting, Tampa, FL, March 30 - April 2, 2003.
  • Chair of the invited session, "SESSION II: Long memory processes," NBER-NSF Time Series Workshop, Raleigh, NC, September 21-22, 2001.
  • Chair of the topic contributed session, "Diagnostics and model checking using Bayesian methods," Joint Statistical Meetings, Atlanta, GA, August 5-9, 2001.
  • Organizer and Chair of the IMS Invited session, "A Decade of Gibbs Sampling," Joint Statistical Meetings, Indianapolis, IN, August 13-17, 2000.
  • Organizer and chair of the IMS Invited session, "Model Choice: A Quantitative Assessment of Model Uncertainty," Joint Statistical Meetings, Indianapolis, IN, August 13-17, 2000.
  • Organizer and Chair of the Invited session, "Modeling Spatial Variation using Non-stationary Processes," International conference on Statistics in the 21st Century, Orono, Maine, June 29- July 1, 2000.
  • Organizer of the ISBA Invited session, "Small Area Estimation: Its Application in census and sampling," Sixth World ISBA Meeting, Hersonissos, Crete, May 28 - June 1, 2000.

• Referee and reviewer
  Annals of Applied Statistics, Applied Statistics (JRSS-C), Biometrical Journal, Biometrics, Biometrika, Communication in Statistics, Computational Statistics and Data Analysis (CSDA), Journal of Agricultural Biological and Environmental Statistics (JABES), Journal of American Statistical Association (JASA), Journal of Business and Economic Sciences (JBES), Journal of Statistical Planning and Inference (JSPI), Journal of Veterinary Diagnostic Investigation, Lifetime Data Analysis, Metron, Model Assisted Statistical Applications (MASA) National Institute of Health (NIH) grant proposals, NIH panel participant, National Science Foundation (NSF) grant proposals, NSF panel participant, Sankhya, Statistical Methodology, Statistics in Medicine

• Committees
  • Co-Chair of the Written Prelim Exam Committee, 2008.
  • Member of the Statistics Department Leadership Review Committee, 2007.
  • Member of the Prelim Exam Committee, 1997, 2004, 2006, 2007.
  • Member of the Faculty Search Committee, 1997, 1998, 2006.
  • Chair of the Master Exam Committee, 1998-2000, 2005-2006.
  • Member of the Graduate Admissions Committee, 2000-2002.
  • Faculty adviser of the Consulting Service, 2000-present.
  • Chair of the PhD Qualifying Exam Committee, 2002.
  • Chair of the Seminar Committee, 2003-2006.
  • Member of the Webpage Committee, 2003-present.
  • Member of the Comprehensive Review Committee, 2003-2005.
  • Member of the Course and Curriculum Committee, 2005-2006.
  • Elected member of Grievance Panel, 2001-2003.
  • Elected member of the PAMS Planning Council, 2006-present.
  • Elected member of Committee on Meetings, American Statistical Association, 2007-2009.

• American Statistical Association
• International Society for Bayesian Analysis
• Sigma Xi
• Community of Science
• International Indian Statistical Association

© Sujit K. Ghosh 1996-2008