Subhashis Ghosal
Affiliations: | North Carolina State University, Raleigh, NC |
Area:
Statistics, Biostatistics BiologyGoogle:
"Subhashis Ghosal"Children
Sign in to add traineeYongqiang Tang | grad student | 2004 | NCSU |
Changku Kang | grad student | 2005 | NCSU |
Jiezhun Gu | grad student | 2007 | NCSU |
Wook Y. Hwang | grad student | 2009 | NCSU |
Yuefeng Wu | grad student | 2009 | NCSU |
Weining Shen | grad student | 2013 | NCSU |
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Publications
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Mulgrave JJ, Ghosal S. (2022) Regression-Based Bayesian Estimation and Structure Learning for Nonparanormal Graphical Models. Statistical Analysis and Data Mining. 15: 611-629 |
Li W, Ghosal S. (2020) Posterior contraction and credible sets for filaments of regression functions Electronic Journal of Statistics. 14: 1707-1743 |
Mulgrave JJ, Ghosal S. (2020) Bayesian Inference in Nonparanormal Graphical Models Bayesian Analysis. 15: 449-475 |
Jeong S, Ghosal S. (2020) Posterior contraction in sparse generalized linear models Biometrika |
Wei R, Ghosal S. (2020) Contraction properties of shrinkage priors in logistic regression Journal of Statistical Planning and Inference. 207: 215-229 |
Zhu R, Ghosal S. (2019) Bayesian nonparametric estimation of ROC surface under verification bias. Statistics in Medicine |
Yoo WW, Ghosal S. (2019) Bayesian mode and maximum estimation and accelerated rates of contraction Bernoulli. 25: 2330-2358 |
Roy A, Ghosal S, Choudhury KR. (2019) High Dimensional Single-Index Bayesian Modeling of Brain Atrophy Bayesian Analysis |
Roy A, Ghosal S, Prescott J, et al. (2019) Bayesian modeling of the structural connectome for studying Alzheimer’s disease The Annals of Applied Statistics. 13: 1791-1816 |
Du X, Ghosal S. (2019) Multivariate Gaussian network structure learning Journal of Statistical Planning and Inference. 199: 327-342 |