Sujit's research

The primary areas of my current research involve,

For a complete list of my pubshlied work please see my Resume

Articles submitted for publications

  1. Kalaylioglu, Z. I. and Ghosh, S. K. Bayesian Unit-root Tests for Stochastic Volatility Models (tentatively accepted)
  2. Wang, D., Pantula, S. G. and Ghosh, S. K. Maximum Likelihood Estimation and Unit Root Test for First Order Random Coefficient Autoregressive Models (revision submitted).
  3. Devineni, N., Sankarasubramanian, A. and Ghosh, S. K. Multi-model Ensembling of Probabilistic Streamflow Forecasts: Role of Predictor State Space in Skill Evaluation (revision submitted).
  4. White, G. and Ghosh, S. K. A Stochastic neighborhood Conditional Auto-Regressive Model for Spatial Data (revision submitted).
  5. Huggins, W., Ghosh, S. K., Shapkina, T., Nanda, K. and Wollenzien. RNA Photocrosslinking is restricted by conformational flexibility - implications for measuring conformational energy (revision submitted).
  6. Ravindran, P. and Ghosh, S. K. Bayesian Analysis of Circular Data Using Wrapped Distributions (revision in progress).
  7. Ghosh, S. K., Lee, H., Davis, J. and Bhave, P. Spatio-temporal Analysis of Total Nitrate Concentrations Using Dynamic Statistical Models (revision in progress).
  8. Park, J., Genton, M. and Ghosh, S. K. Nonparametric Autocovariance Estimation from Censored Time Series (revision in progress).
  9. Wang, D. and Ghosh, S.K. Bayesian Analysis of Random Coefficient Autoregressive Models (revision in progress).
  10. Kyung, M. and Ghosh, S, K. Maximum Likelihood Estimation for Directional Conditionally Autoregressive Models (revision in progress).
  11. Kyung, M. and Ghosh, S. K. Bayesian Inference for Directional Conditionally Autoregressive Models (revision in progress).
  12. Curtis, S. M. and Ghosh, S. K. A Variable Selection Approach to Bayesian Monotonic Regression with Bernstein Polynomials (in review).
  13. Curtis, S. M. and Ghosh, S. K. A Bayesian Approach to Multicollinearity and the Simultaneous Selection and Clustering of Predictors in Linear Regression (in review).
  14. Belasco, E., Goodwin, B. K. Goodwin, Ghosh, S. K. A Multivariate Evaluation of Ex-ante risks Associated with Fed Cattle Production (in review).
  15. Mishra, K. and Ghosh, S. K. Bayesian regression Models for the Quality Adjusted Lifetime Data with Zero Time Duration Health States (in review).
  16. Zheng, J., Frey, C. and Ghosh, S. K. Dealing with Incomplete Data and dependencies among Sampling Distributions in Probabilistic Human Helth Exposure Assessment: Methodology and Case Study (in review).
  17. Goyal, L. and Ghosh, S. K. Statistical Inference for Nonlinear Models Involving Ordinary Differential Equations (in review).
  18. Anand, S. and Ghosh, S. K. A Bayesian Approach to Assessing the Risk of QT Prolongation (in review).
  19. Hughes-Oliver, J. M., Heo, T. Y. and Ghosh, S. K. An Autoregressive Point Source Model for Spatial Processes (in review).
  20. Gosky, R. and Ghosh, S. K. A Comparative Study of Bayesian Model Selection Criteria for Capture-Recapture Models for Closed Populations (in review)

Email me at ghosh@stat.ncsu.edu if you need a pre-print or visit ISMS

Current doctoral students

  1. Suraj Anand, Novel Statistical Approaches for Planning and Investigating the Risk of QT Prolongation in "thorough QTc studies", North Carolina State University.
  2. Arun Krishna, New Penalization Methods for Variable Selection for Mixed Effects Models, North Carolina State University. (co-advisor Dr. H. Bondell)
  3. Haojun Ouyang, Bayesian Methods to Control FDR within GWAS, North Carolina State University. (co-adviser Dr. J. Tzeng)
  4. Ying Zhu, Modeling Dependence in the Design of Crop Insurance, North Carolina State University. (co-advisor Dr. B. Goodwin)
  5. Carl Dicasoli, Modeling Crossing Survival Functions, North Carolina State University. (co-adviser Dr. S. Ghosal)
  6. Elizabeth Nelson, Analyzing Cure Rates using Accelerated Failure Time Models, North Carolina State University. (co-advisor Dr. W. Lu)
  7. Ani Eloyan, New Methods for Independent Component Analysis, North Carolina State University.
  8. S. McKay Curtis, Variable Selection Methods with Applications to Shape Restricted Regression, North Carolina State University. (co-advisor Dr. S. Ghoshal)

Some selected online journals

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Last modified
May 15, 2008
http://www.stat.ncsu.edu/~sghosh2

© Sujit K. Ghosh 1996-2008