| Sparse Bayesian infinite factor models A Bhattacharya, DB Dunson Biometrika, 291-306, 2011 | 325 | 2011 |
| Dirichlet–Laplace priors for optimal shrinkage A Bhattacharya, D Pati, NS Pillai, DB Dunson Journal of the American Statistical Association 110 (512), 1479-1490, 2015 | 228 | 2015 |
| Posterior contraction in sparse Bayesian factor models for massive covariance matrices D Pati, A Bhattacharya, NS Pillai, D Dunson The Annals of Statistics 42 (3), 1102-1130, 2014 | 78 | 2014 |
| Fast sampling with Gaussian scale mixture priors in high-dimensional regression A Bhattacharya, A Chakraborty, BK Mallick Biometrika, asw042, 2016 | 76 | 2016 |
| Simplex factor models for multivariate unordered categorical data A Bhattacharya, DB Dunson Journal of the American Statistical Association 107 (497), 362-377, 2012 | 58 | 2012 |
| Bayesian factorizations of big sparse tensors J Zhou, A Bhattacharya, AH Herring, DB Dunson Journal of the American Statistical Association 110 (512), 1562-1576, 2015 | 56 | 2015 |
| Bayesian shrinkage A Bhattacharya, D Pati, NS Pillai, DB Dunson arXiv preprint arXiv:1212.6088, 2012 | 55 | 2012 |
| Anisotropic function estimation using multi-bandwidth Gaussian processes A Bhattacharya, D Pati, D Dunson Annals of statistics 42 (1), 352, 2014 | 45 | 2014 |
| Scalable Bayesian variable selection using nonlocal prior densities in ultrahigh-dimensional settings M Shin, A Bhattacharya, VE Johnson Statistica Sinica 28 (2), 1053, 2018 | 41 | 2018 |
| Impaired limbic gamma oscillatory synchrony during anxiety-related behavior in a genetic mouse model of bipolar mania K Dzirasa, DAL McGarity, A Bhattacharya, S Kumar, JS Takahashi, ... Journal of Neuroscience 31 (17), 6449-6456, 2011 | 37 | 2011 |
| Bayesian fractional posteriors A Bhattacharya, D Pati, Y Yang The Annals of Statistics 47 (1), 39-66, 2019 | 31 | 2019 |
| Bayes shrinkage at GWAS scale: Convergence and approximation theory of a scalable MCMC algorithm for the horseshoe prior JE Johndrow, P Orenstein, A Bhattacharya arXiv preprint arXiv:1705.00841, 2017 | 30 | 2017 |
| On statistical optimality of variational Bayes D Pati, A Bhattacharya, Y Yang International Conference on Artificial Intelligence and Statistics, 1579-1588, 2018 | 26 | 2018 |
| -variational inference with statistical guarantees Y Yang, D Pati, A Bhattacharya Annals of Statistics 48 (2), 886-905, 2020 | 22 | 2020 |
| Tensor decompositions and sparse log-linear models JE Johndrow, A Bhattacharya, DB Dunson Annals of statistics 45 (1), 1, 2017 | 21 | 2017 |
| Probabilistic community detection with unknown number of communities J Geng, A Bhattacharya, D Pati Journal of the American Statistical Association 114 (526), 893-905, 2019 | 16 | 2019 |
| Frequentist coverage and sup-norm convergence rate in Gaussian process regression Y Yang, A Bhattacharya, D Pati arXiv preprint arXiv:1708.04753, 2017 | 16 | 2017 |
| horseshoe: Implementation of the Horseshoe Prior S van der Pas, J Scott, A Chakraborty, A Bhattacharya R package version 0.1. 0, 2016 | 14 | 2016 |
| Adaptive dimension reduction with a Gaussian process prior A Bhattacharya, D Pati, DB Dunson arXiv preprint arXiv:1111.1044 1445, 2011 | 9 | 2011 |
| Reexamining the proton-radius problem using constrained Gaussian processes S Zhou, P Giulani, J Piekarewicz, A Bhattacharya, D Pati Physical Review C 99 (5), 055202, 2019 | 8 | 2019 |
Debdeep PatiAssociate Professor, Department of Statistics, Texas A&M UniversityVerified email at stat.tamu.edu
