| 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 | 554 | 2015 |
| Bayesian fractional posteriors A Bhattacharya, D Pati, Y Yang | 153 | 2019 |
| α-variational inference with statistical guarantees Y Yang, D Pati, A Bhattacharya The Annals of Statistics 48 (2), 886-905, 2020 | 143 | 2020 |
| Posterior contraction in sparse Bayesian factor models for massive covariance matrices D Pati, A Bhattacharya, NS Pillai, D Dunson | 130 | 2014 |
| Posterior consistency in conditional distribution estimation D Pati, DB Dunson, ST Tokdar Journal of multivariate analysis 116, 456-472, 2013 | 109 | 2013 |
| Bayesian geostatistical modelling with informative sampling locations D Pati, BJ Reich, DB Dunson Biometrika 98 (1), 35-48, 2011 | 109 | 2011 |
| 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 | 98 | 2019 |
| Bayesian optimization with adaptive surrogate models for automated experimental design B Lei, TQ Kirk, A Bhattacharya, D Pati, X Qian, R Arroyave, BK Mallick Npj Computational Materials 7 (1), 194, 2021 | 88 | 2021 |
| On statistical optimality of variational Bayes D Pati, A Bhattacharya, Y Yang International Conference on Artificial Intelligence and Statistics, 1579-1588, 2018 | 87 | 2018 |
| Anisotropic function estimation using multi-bandwidth Gaussian processes A Bhattacharya, D Pati, D Dunson Annals of statistics 42 (1), 352, 2014 | 73 | 2014 |
| Bayesian shrinkage A Bhattacharya, D Pati, NS Pillai, DB Dunson arXiv preprint arXiv:1212.6088, 2012 | 72 | 2012 |
| Variable selection using shrinkage priors H Li, D Pati Computational Statistics & Data Analysis 107, 107-119, 2017 | 67 | 2017 |
| Frequentist coverage and sup-norm convergence rate in Gaussian process regression Y Yang, A Bhattacharya, D Pati arXiv preprint arXiv:1708.04753, 2017 | 53 | 2017 |
| Adaptive Bayesian estimation of conditional densities A Norets, D Pati Econometric Theory 33 (4), 980-1012, 2017 | 45 | 2017 |
| 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 | 42 | 2019 |
| Bayesian clustering of shapes of curves Z Zhang, D Pati, A Srivastava Journal of Statistical Planning and Inference 166, 171-186, 2015 | 35 | 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 | 34 | 2014 |
| Radius and equation of state constraints from massive neutron stars and GW190814 Y Lim, A Bhattacharya, JW Holt, D Pati Physical Review C 104 (3), L032802, 2021 | 33 | 2021 |
| 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 |
| Dynamics of coordinate ascent variational inference: A case study in 2D Ising models S Plummer, D Pati, A Bhattacharya Entropy 22 (11), 1263, 2020 | 24 | 2020 |
