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 | 496 | 2015 |
Bayesian fractional posteriors A Bhattacharya, D Pati, Y Yang | 129 | 2019 |
Posterior contraction in sparse Bayesian factor models for massive covariance matrices D Pati, A Bhattacharya, NS Pillai, D Dunson | 120 | 2014 |
α-variational inference with statistical guarantees Y Yang, D Pati, A Bhattacharya The Annals of Statistics 48 (2), 886-905, 2020 | 110 | 2020 |
Posterior consistency in conditional distribution estimation D Pati, DB Dunson, ST Tokdar Journal of multivariate analysis 116, 456-472, 2013 | 105 | 2013 |
Bayesian geostatistical modelling with informative sampling locations D Pati, BJ Reich, DB Dunson Biometrika 98 (1), 35-48, 2011 | 102 | 2011 |
On statistical optimality of variational Bayes D Pati, A Bhattacharya, Y Yang International Conference on Artificial Intelligence and Statistics, 1579-1588, 2018 | 81 | 2018 |
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 | 78 | 2019 |
Anisotropic function estimation using multi-bandwidth Gaussian processes A Bhattacharya, D Pati, D Dunson Annals of statistics 42 (1), 352, 2014 | 71 | 2014 |
Bayesian shrinkage A Bhattacharya, D Pati, NS Pillai, DB Dunson arXiv preprint arXiv:1212.6088, 2012 | 64 | 2012 |
Variable selection using shrinkage priors H Li, D Pati Computational Statistics & Data Analysis 107, 107-119, 2017 | 57 | 2017 |
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 | 54 | 2021 |
Frequentist coverage and sup-norm convergence rate in Gaussian process regression Y Yang, A Bhattacharya, D Pati arXiv preprint arXiv:1708.04753, 2017 | 46 | 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 | 38 | 2019 |
Adaptive Bayesian estimation of conditional densities A Norets, D Pati Econometric Theory 33 (4), 980-1012, 2017 | 36 | 2017 |
Bayesian clustering of shapes of curves Z Zhang, D Pati, A Srivastava Journal of Statistical Planning and Inference 166, 171-186, 2015 | 34 | 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 |
Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior D Pati, A Bhattacharya, G Cheng 1foldr Import 2019-10-08 Batch 5, 2015 | 22 | 2015 |
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 | 21 | 2018 |