| Fast sampling with Gaussian scale mixture priors in high-dimensional regression A Bhattacharya, A Chakraborty, BK Mallick Biometrika, asw042, 2016 | 105 | 2016 |
| horseshoe: Implementation of the Horseshoe Prior S van der Pas, J Scott, A Chakraborty, A Bhattacharya R package version 0.1. 0, 2016 | 17 | 2016 |
| Bayesian semiparametric multivariate density deconvolution A Sarkar, D Pati, A Chakraborty, BK Mallick, RJ Carroll Journal of the American Statistical Association 113 (521), 401-416, 2018 | 14 | 2018 |
| Bayesian sparse multiple regression for simultaneous rank reduction and variable selection A Chakraborty, A Bhattacharya, BK Mallick Biometrika 107 (1), 205-221, 2020 | 12 | 2020 |
| Resilience-based process upset event prediction analysis for uncertainty management using Bayesian deep learning: application to a polyvinyl chloride process system P Jain, A Chakraborty, EN Pistikopoulos, MS Mannan Industrial & Engineering Chemistry Research 57 (43), 14822-14836, 2018 | 8 | 2018 |
| Bayesian semiparametric long memory models for discretized event data A Chakraborty, O Ovaskainen, DB Dunson arXiv preprint arXiv:2004.08309, 2020 | | 2020 |
| Nearest Neighbor Dirichlet Process S Chattopadhyay, A Chakraborty, DB Dunson arXiv preprint arXiv:2003.07953, 2020 | | 2020 |
| Package ‘intsurvbin’ A Maity, A Chakraborty, A Bhattacharya, R Carroll, BK Mallick, MA Maity | | 2019 |
| Bayesian Shrinkage: Computation, Methods and Theory A Chakraborty | | 2018 |
| Package ‘horseshoe’ S van der Pas, J Scott, A Chakraborty, A Bhattacharya, MS van der Pas | | 2016 |
| horseshoe SL van der Pas, J Scott, A Chakraborty, A Bhattacharya | | 2016 |
Anirban BhattacharyaAssociate Professor, Texas A&M UniversityVerified email at stat.tamu.edu
