Anirban Bhattacharya

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Debdeep PatiProfessor, Department of Statistics, University of Wisconsin - MadisonEmail verificata su wisc.edu
David DunsonArts & Sciences Professor of Statistical Science & MathematicsEmail verificata su duke.edu
Bani MallickDistinguished Professor, Taxas A&MEmail verificata su stat.tamu.edu
Yun YangDepartment of Mathematics, University of Maryland, College ParkEmail verificata su umd.edu
James JohndrowAssistant Professor, Department of Statistics, University of PennsylvaniaEmail verificata su wharton.upenn.edu
Antik ChakrabortyPurdue UniversityEmail verificata su purdue.edu
Natesh S. PillaiHarvard UniversityEmail verificata su fas.harvard.edu
Valen JohnsonProfessor of Statistics, Texas A&MEmail verificata su stat.tamu.edu
Shuang ZhouAssistant Professor, SoMSS, Arizona State UniversityEmail verificata su asu.edu
Paulo OrensteinIMPAEmail verificata su impa.br
Minsuk ShinUniversity of South CarolinaEmail verificata su mailbox.sc.edu
Sean PlummerAssistant Professor, University of ArkansasEmail verificata su uark.edu
Amy HerringSara & Charles Ayres Professor of Statistical Science and Global Health, Duke UniversityEmail verificata su duke.edu
Ping-Chun HsiehAssociate Professor, National Chiao Tung UniversityEmail verificata su nycu.edu.tw
P. R. KumarTexas A&M UniversityEmail verificata su tamu.edu
Stéphanie van der PasAssociate professor, Amsterdam UMCEmail verificata su amsterdamumc.nl
James G. ScottProfessor of Statistics and Data Science, University of Texas at AustinEmail verificata su mccombs.utexas.edu
Yeunhwan LimDepartmet of Physics, Yonsei UniversityEmail verificata su yonsei.ac.kr
Jeremy HoltAssociate Professor of Physics, Texas A&M University College StationEmail verificata su physics.tamu.edu
Jorge PiekarewiczProfessor of Physics, Florida State UniversityEmail verificata su fsu.edu

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Anirban Bhattacharya

Professor, Texas A&M University

Email verificata su stat.tamu.edu - Home page

Bayesian statistics High-dimensional data Nonparametrics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Sparse Bayesian infinite factor models A Bhattacharya, DB Dunson Biometrika 98 (2), 291-306, 2011	584	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	546	2015
Fast sampling with Gaussian scale mixture priors in high-dimensional regression A Bhattacharya, A Chakraborty, BK Mallick Biometrika, asw042, 2016	232	2016
Bayesian fractional posteriors A Bhattacharya, D Pati, Y Yang	149	2019
α-variational inference with statistical guarantees Y Yang, D Pati, A Bhattacharya The Annals of Statistics 48 (2), 886-905, 2020	141	2020
Posterior contraction in sparse Bayesian factor models for massive covariance matrices D Pati, A Bhattacharya, NS Pillai, D Dunson	129	2014
Scalable Bayesian variable selection using nonlocal prior densities in ultrahigh-dimensional settings M Shin, A Bhattacharya, VE Johnson Statistica Sinica 28 (2), 1053, 2018	115	2018
Scalable approximate MCMC algorithms for the horseshoe prior J Johndrow, P Orenstein, A Bhattacharya Journal of Machine Learning Research 21 (73), 1-61, 2020	98*	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	91	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	87	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
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	82	2015
Simplex factor models for multivariate unordered categorical data A Bhattacharya, DB Dunson Journal of the American Statistical Association 107 (497), 362-377, 2012	78	2012
Anisotropic function estimation using multi-bandwidth Gaussian processes A Bhattacharya, D Pati, D Dunson Annals of statistics 42 (1), 352, 2014	74	2014
Bayesian shrinkage A Bhattacharya, D Pati, NS Pillai, DB Dunson arXiv preprint arXiv:1212.6088, 2012	69	2012
Frequentist coverage and sup-norm convergence rate in Gaussian process regression Y Yang, A Bhattacharya, D Pati arXiv preprint arXiv:1708.04753, 2017	52	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	50	2011
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	44	2019
Tensor decompositions and sparse log-linear models JE Johndrow, A Bhattacharya, DB Dunson Annals of statistics 45 (1), 1, 2017	41	2017
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	38	2021

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