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
James JohndrowAssistant Professor, Department of Statistics, University of PennsylvaniaVerified email at wharton.upenn.edu
Valen JohnsonProfessor of Statistics, Texas A&MVerified email at stat.tamu.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
Ping-Chun HsiehAssistant Professor, National Chiao Tung UniversityVerified email at nctu.edu.tw
Stéphanie van der PasAssistant professor, Amsterdam UMCVerified email at amsterdamumc.nl
Junxian GengBoehringer IngelheimVerified email at stat.fsu.edu
Xianyang ZhangTexas A&M UniversityVerified email at stat.tamu.edu
Prasenjit GhoshPost Doctoral Research Associate, Texas 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
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	350	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	276	2015
Fast sampling with Gaussian scale mixture priors in high-dimensional regression A Bhattacharya, A Chakraborty, BK Mallick Biometrika, asw042, 2016	99	2016
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	80	2014
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	65	2015
Simplex factor models for multivariate unordered categorical data A Bhattacharya, DB Dunson Journal of the American Statistical Association 107 (497), 362-377, 2012	63	2012
Bayesian shrinkage A Bhattacharya, D Pati, NS Pillai, DB Dunson arXiv preprint arXiv:1212.6088, 2012	57	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	55	2018
Bayesian fractional posteriors A Bhattacharya, D Pati, Y Yang arXiv preprint arXiv:1611.01125, 2016	54	2016
Anisotropic function estimation using multi-bandwidth Gaussian processes A Bhattacharya, D Pati, D Dunson Annals of statistics 42 (1), 352, 2014	52	2014
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	44*	2017
On statistical optimality of variational Bayes D Pati, A Bhattacharya, Y Yang International Conference on Artificial Intelligence and Statistics, 1579-1588, 2018	41	2018
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	40	2011
-Variational Inference with Statistical Guarantees Y Yang, D Pati, A Bhattacharya arXiv preprint arXiv:1710.03266, 2017	38	2017
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	32	2019
Tensor decompositions and sparse log-linear models JE Johndrow, A Bhattacharya, DB Dunson Annals of statistics 45 (1), 1, 2017	24	2017
Frequentist coverage and sup-norm convergence rate in Gaussian process regression Y Yang, A Bhattacharya, D Pati arXiv preprint arXiv:1708.04753, 2017	21	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	17	2019
horseshoe: Implementation of the Horseshoe Prior S van der Pas, J Scott, A Chakraborty, A Bhattacharya R package version 0.1. 0, 2016	16	2016
Bayesian sparse multiple regression for simultaneous rank reduction and variable selection A Chakraborty, A Bhattacharya, BK Mallick Biometrika 107 (1), 205-221, 2020	11	2020

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