Anirban Bhattacharya
Anirban Bhattacharya
Associate Professor, Texas A&M University
Verified email at stat.tamu.edu
Title
Cited by
Cited by
Year
Sparse Bayesian infinite factor models
A Bhattacharya, DB Dunson
Biometrika, 291-306, 2011
3252011
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
2282015
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
782014
Fast sampling with Gaussian scale mixture priors in high-dimensional regression
A Bhattacharya, A Chakraborty, BK Mallick
Biometrika, asw042, 2016
762016
Simplex factor models for multivariate unordered categorical data
A Bhattacharya, DB Dunson
Journal of the American Statistical Association 107 (497), 362-377, 2012
582012
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
562015
Bayesian shrinkage
A Bhattacharya, D Pati, NS Pillai, DB Dunson
arXiv preprint arXiv:1212.6088, 2012
552012
Anisotropic function estimation using multi-bandwidth Gaussian processes
A Bhattacharya, D Pati, D Dunson
Annals of statistics 42 (1), 352, 2014
452014
Scalable Bayesian variable selection using nonlocal prior densities in ultrahigh-dimensional settings
M Shin, A Bhattacharya, VE Johnson
Statistica Sinica 28 (2), 1053, 2018
412018
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
372011
Bayesian fractional posteriors
A Bhattacharya, D Pati, Y Yang
The Annals of Statistics 47 (1), 39-66, 2019
312019
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
302017
On statistical optimality of variational Bayes
D Pati, A Bhattacharya, Y Yang
International Conference on Artificial Intelligence and Statistics, 1579-1588, 2018
262018
-variational inference with statistical guarantees
Y Yang, D Pati, A Bhattacharya
Annals of Statistics 48 (2), 886-905, 2020
222020
Tensor decompositions and sparse log-linear models
JE Johndrow, A Bhattacharya, DB Dunson
Annals of statistics 45 (1), 1, 2017
212017
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
162019
Frequentist coverage and sup-norm convergence rate in Gaussian process regression
Y Yang, A Bhattacharya, D Pati
arXiv preprint arXiv:1708.04753, 2017
162017
horseshoe: Implementation of the Horseshoe Prior
S van der Pas, J Scott, A Chakraborty, A Bhattacharya
R package version 0.1. 0, 2016
142016
Adaptive dimension reduction with a Gaussian process prior
A Bhattacharya, D Pati, DB Dunson
arXiv preprint arXiv:1111.1044 1445, 2011
92011
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
82019
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