| 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 | 267 | 2015 |
| Posterior contraction in sparse Bayesian factor models for massive covariance matrices D Pati, A Bhattacharya, NS Pillai, D Dunson Annals of Statistics 42 (3), 1102-1130, 2014 | 79 | 2014 |
| Posterior consistency in conditional distribution estimation D Pati, DB Dunson, ST Tokdar Journal of multivariate analysis 116, 456-472, 2013 | 79 | 2013 |
| Bayesian geostatistical modelling with informative sampling locations D Pati, BJ Reich, DB Dunson Biometrika 98 (1), 35-48, 2011 | 72 | 2011 |
| Bayesian shrinkage A Bhattacharya, D Pati, NS Pillai, DB Dunson arXiv preprint arXiv:1212.6088, 2012 | 57 | 2012 |
| Bayesian fractional posteriors A Bhattacharya, D Pati, Y Yang Annals of Statistics 47 (1), 39-66, 2019 | 52 | 2019 |
| Anisotropic function estimation using multi-bandwidth Gaussian processes A Bhattacharya, D Pati, D Dunson Annals of statistics 42 (1), 352, 2014 | 51 | 2014 |
| On statistical optimality of variational Bayes D Pati, A Bhattacharya, Y Yang International Conference on Artificial Intelligence and Statistics, 1579-1588, 2018 | 40 | 2018 |
| -variational inference with statistical guarantees Y Yang, D Pati, A Bhattacharya Annals of Statistics 48 (2), 886-905, 2020 | 36 | 2020 |
| 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 | 30 | 2019 |
| Variable selection using shrinkage priors H Li, D Pati Computational Statistics & Data Analysis 107, 107-119, 2017 | 26 | 2017 |
| Bayesian clustering of shapes of curves Z Zhang, D Pati, A Srivastava Journal of Statistical Planning and Inference 166, 171-186, 2015 | 26 | 2015 |
| Bayesian semiparametric density deconvolution in the presence of conditionally heteroscedastic measurement errors A Sarkar, BK Mallick, J Staudenmayer, D Pati, RJ Carroll Journal of Computational and Graphical Statistics 23 (4), 1101-1125, 2014 | 22 | 2014 |
| Adaptive Bayesian estimation of conditional densities A Norets, D Pati arXiv preprint arXiv:1408.5355, 2014 | 21 | 2014 |
| Frequentist coverage and sup-norm convergence rate in Gaussian process regression Y Yang, A Bhattacharya, D Pati arXiv preprint arXiv:1708.04753, 2017 | 19 | 2017 |
| Bayesian nonparametric regression with varying residual density D Pati, DB Dunson Annals of the Institute of Statistical Mathematics 66 (1), 1-31, 2014 | 18 | 2014 |
| 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 | 14 | 2019 |
| 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 | 13 | 2018 |
| Bayesian partial linear model for skewed longitudinal data Y Tang, D Sinha, D Pati, S Lipsitz, S Lipshultz Biostatistics 16 (3), 441-453, 2015 | 11 | 2015 |
| Bayesian multiscale modeling of closed curves in point clouds K Gu, D Pati, DB Dunson Journal of the American Statistical Association 109 (508), 1481-1494, 2014 | 11 | 2014 |
