| Fast sampling with Gaussian scale mixture priors in high-dimensional regression A Bhattacharya, A Chakraborty, BK Mallick Biometrika, asw042, 2016 | 234 | 2016 |
| Bayesian sparse multiple regression for simultaneous rank reduction and variable selection A Chakraborty, A Bhattacharya, BK Mallick Biometrika 107 (1), 205-221, 2020 | 38 | 2020 |
| horseshoe: Implementation of the Horseshoe Prior S van der Pas, J Scott, A Chakraborty, A Bhattacharya R package version 0.1. 0 12, 2016 | 32 | 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 | 25 | 2018 |
| 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 | 19 | 2018 |
| horseshoe: Implementation of the Horseshoe Prior, 2016 S van der Pas, J Scott, A Chakraborty, A Bhattacharya URL https://CRAN. R-project. org/package= horseshoe. R package version 0.1. 0, 0 | 9 | |
| Bayesian inference on high-dimensional multivariate binary responses A Chakraborty, R Ou, DB Dunson Journal of the American Statistical Association 119 (548), 2560-2571, 2024 | 6 | 2024 |
| State Space Modeling of Mortgage Default Rates and Natural Hazards A Chakraborty, J Su, P Jevtic, M Gall, S Eschker Available at SSRN 5126054, 2025 | | 2025 |
| A Bayesian Clustering Approach to Multi-Population Mortality Modeling and Forecasting M Xu, A Chakraborty, Y Xu Available at SSRN 5115045, 2024 | | 2024 |
| Likelihood Based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing Constants Y Chen, A Bhadra, A Chakraborty arXiv preprint arXiv:2404.17763, 2024 | | 2024 |
| Orthogonal calibration via posterior projections with applications to the Schwarzschild model A Chakraborty, JB Walsh, L Strigari, BK Mallick, A Bhattacharya arXiv preprint arXiv:2404.03152, 2024 | | 2024 |
| Nearest neighbor dirichlet mixtures S Chattopadhyay, A Chakraborty, DB Dunson Journal of Machine Learning Research 24 (261), 1-46, 2023 | | 2023 |
| Package ‘horseshoe’ S van der Pas, J Scott, A Chakraborty, A Bhattacharya, MS van der Pas | | 2022 |
| Bayesian semiparametric long memory models for discretized event data A Chakraborty, O Ovaskainen, DB Dunson The annals of applied statistics 16 (3), 1380, 2022 | | 2022 |
| Bayesian inference on high-dimensional multivariate binary data A Chakraborty, R Ou, DB Dunson arXiv preprint arXiv:2106.02127, 2021 | | 2021 |
| 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 Texas A&M University, 2018 | | 2018 |
| horseshoe SL van der Pas, J Scott, A Chakraborty, A Bhattacharya | | 2016 |
Anirban BhattacharyaProfessor, Texas A&M UniversityVerified email at stat.tamu.edu