Bio

Subhashis Ghoshal is a Goodnight Distinguished Professor of Statistics and Operations Research at North Carolina State University.

Area(s) of Expertise

High and Infinite Dimensional Models, Bayesian Inference, Asymptotic Statistics, Image Processing, Functional Data Analysis and Multiple Hypotheses Testing

Publications

• Bayesian Inference for the Extreme Value Index , Journal of Statistical Theory and Practice (2026)
• Projection-posterior for variable selection: Weak limit and coverage , Electronic Journal of Statistics (2025)
• Editorial Article: Remembering D. Basu’s Legacy in Statistics , Sankhya A (2024)
• Combining phenotypic and genomic data to improve prediction of binary traits , Journal of Applied Statistics (2023)
• Posterior contraction and testing for multivariate isotonic regression , Electronic Journal of Statistics (2023)
• Discussion of “Confidence Intervals for Nonparametric Empirical Bayes Analysis” by Ignatiadis and Wager , Journal of the American Statistical Association (2022)
• Rates and coverage for monotone densities using projection-posterior , Bernoulli (2022)
• Two-step Bayesian methods for generalized regression driven by partial differential equations , Bernoulli (2022)
• Bayesian estimation of sparse precision matrices in the presence of Gaussian measurement error , Electronic Journal of Statistics (2021)
• Bayesian multivariate quantile regression using Dependent Dirichlet Process prior , Journal of Multivariate Analysis (2021)