| Sparse Bayesian infinite factor models A Bhattacharya, DB Dunson Biometrika, 291-306, 2011 | 286 | 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 | 196 | 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 | 74 | 2014 |
| Fast sampling with Gaussian scale mixture priors in high-dimensional regression A Bhattacharya, A Chakraborty, BK Mallick Biometrika, asw042, 2016 | 63 | 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 | 52 | 2015 |
| Bayesian shrinkage A Bhattacharya, D Pati, NS Pillai, DB Dunson arXiv preprint arXiv:1212.6088, 2012 | 48 | 2012 |
| Anisotropic function estimation using multi-bandwidth Gaussian processes A Bhattacharya, D Pati, D Dunson Annals of statistics 42 (1), 352, 2014 | 43 | 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 | 36 | 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 | 36 | 2011 |
| Bayesian fractional posteriors A Bhattacharya, D Pati, Y Yang The Annals of Statistics 47 (1), 39-66, 2019 | 24 | 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 | 23 | 2017 |
| On statistical optimality of variational Bayes D Pati, A Bhattacharya, Y Yang arXiv preprint arXiv:1712.08983, 2017 | 21 | 2017 |
| Tensor decompositions and sparse log-linear models JE Johndrow, A Bhattacharya, DB Dunson Annals of statistics 45 (1), 1, 2017 | 20 | 2017 |
| -Variational Inference with Statistical Guarantees Y Yang, D Pati, A Bhattacharya arXiv preprint arXiv:1710.03266, 2017 | 17 | 2017 |
| Frequentist coverage and sup-norm convergence rate in Gaussian process regression Y Yang, A Bhattacharya, D Pati arXiv preprint arXiv:1708.04753, 2017 | 12 | 2017 |
| horseshoe: Implementation of the Horseshoe Prior S van der Pas, J Scott, A Chakraborty, A Bhattacharya R package version 0.1. 0, 2016 | 12 | 2016 |
| 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 | 10 | 2019 |
| Adaptive dimension reduction with a Gaussian process prior A Bhattacharya, D Pati, DB Dunson arXiv preprint arXiv:1111.1044 1445, 2011 | 8 | 2011 |
| Optimal Bayesian estimation in stochastic block models D Pati, A Bhattacharya arXiv preprint arXiv:1505.06794, 2015 | 7 | 2015 |
Debdeep PatiAssociate Professor, Department of Statistics, Texas A&M UniversityVerified email at stat.tamu.edu
