Anirban Bhattacharya

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Debdeep PatiAssociate Professor, Department of Statistics, Texas A&M UniversityVerified email at stat.tamu.edu
David DunsonArts & Sciences Professor of Statistical Science & MathematicsVerified email at duke.edu
Natesh S. PillaiHarvard UniversityVerified email at fas.harvard.edu
Yun YangUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Antik ChakrabortyDuke UniversityVerified email at duke.edu
Bani MallickDistinguished Professor, Taxas A&MVerified email at stat.tamu.edu
Valen JohnsonProfessor of Statistics, Texas A&MVerified email at stat.tamu.edu
James JohndrowAssistant Professor, Department of Statistics, University of PennsylvaniaVerified email at wharton.upenn.edu
Amy HerringSara & Charles Ayres Professor of Statistical Science and Global Health, Duke UniversityVerified email at duke.edu
Minsuk ShinUniversity of South CarolinaVerified email at mailbox.sc.edu
Paulo OrensteinStanford UniversityVerified email at stanford.edu
Stéphanie van der PasAssistant professor in Statistics, Leiden UniversityVerified email at math.leidenuniv.nl
Junxian GengBoehringer IngelheimVerified email at stat.fsu.edu
Ping-Chun HsiehAssistant Professor, National Chiao Tung UniversityVerified email at nctu.edu.tw
Xianyang ZhangTexas A&M UniversityVerified email at stat.tamu.edu
Matthias KatzfussAssociate Professor of Statistics, Texas A&M UniversityVerified email at stat.tamu.edu
Fangpo WangDepartment of Statistics, Duke UniversityVerified email at stat.duke.edu
alan e gelfandProfessor of Statistical Science Duke UniversityVerified email at stat.duke.edu
Jeffrey D. HartProfessor of Statistics, Texas A&M UniversityVerified email at stat.tamu.edu
Veera BaladandayuthapaniProfessor, Biostatistics, University of MichiganVerified email at umich.edu

Anirban Bhattacharya

Associate Professor, Texas A&M University

Verified email at stat.tamu.edu

Bayesian statistics High-dimensional data Nonparametrics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Sparse Bayesian infinite factor models A Bhattacharya, DB Dunson Biometrika, 291-306, 2011	341	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	253	2015
Fast sampling with Gaussian scale mixture priors in high-dimensional regression A Bhattacharya, A Chakraborty, BK Mallick Biometrika, asw042, 2016	84	2016
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	79	2014
Simplex factor models for multivariate unordered categorical data A Bhattacharya, DB Dunson Journal of the American Statistical Association 107 (497), 362-377, 2012	61	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	60	2015
Bayesian shrinkage A Bhattacharya, D Pati, NS Pillai, DB Dunson arXiv preprint arXiv:1212.6088, 2012	56	2012
Scalable Bayesian variable selection using nonlocal prior densities in ultrahigh-dimensional settings M Shin, A Bhattacharya, VE Johnson Statistica Sinica 28 (2), 1053, 2018	50	2018
Anisotropic function estimation using multi-bandwidth Gaussian processes A Bhattacharya, D Pati, D Dunson Annals of statistics 42 (1), 352, 2014	48	2014
Bayesian fractional posteriors A Bhattacharya, D Pati, Y Yang The Annals of Statistics 47 (1), 39-66, 2019	43	2019
On statistical optimality of variational Bayes D Pati, A Bhattacharya, Y Yang International Conference on Artificial Intelligence and Statistics, 1579-1588, 2018	41	2018
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	38*	2017
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	38	2011
-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	24	2019
Tensor decompositions and sparse log-linear models JE Johndrow, A Bhattacharya, DB Dunson Annals of statistics 45 (1), 1, 2017	21	2017
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
horseshoe: Implementation of the Horseshoe Prior S van der Pas, J Scott, A Chakraborty, A Bhattacharya R package version 0.1. 0, 2016	17	2016
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	13	2019
Bayesian sparse multiple regression for simultaneous rank reduction and variable selection A Chakraborty, A Bhattacharya, BK Mallick Biometrika 107 (1), 205-221, 2020	10	2020

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