Sanvesh Srivastava

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David DunsonArts & Sciences Professor of Statistical Science & MathematicsE-mail confirmado em duke.edu
Cheng LiNational University of SingaporeE-mail confirmado em nus.edu.sg
Lizhen LinDepartment of Mathematics, The University of MarylandE-mail confirmado em umd.edu
Rebecca W. DoergeProvost, Rensselaer Polytechnic Institute (RPI)E-mail confirmado em rpi.edu
Rajarshi GuhaniyogiAssociate Professor of StatisticsE-mail confirmado em tamu.edu
Stanislav MinskerUniversity of Southern CaliforniaE-mail confirmado em usc.edu
Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar (AGI Foundations).E-mail confirmado em epfl.ch
Quoc Tran-DinhDepartment of Statistics and Operations Research, UNCE-mail confirmado em email.unc.edu
Girish BathlaMayo Clinic, RochesterE-mail confirmado em mayo.edu
Neetu SoniMayo Clinic, JacksonvilleE-mail confirmado em mayo.edu
Rainbo HultmanAssistant Professor, Dept. of Molecular Physiology and Biophysics, University of IowaE-mail confirmado em healthcare.uiowa.edu
Benjamin HingUniversity of IowaE-mail confirmado em uiowa.edu
Paul AuerProfessor of Biostatistics, Medical College of WisconsinE-mail confirmado em mcw.edu
Sedat Giray KandemirliDuke UniversityE-mail confirmado em childrens.harvard.edu
Karra A. JonesDuke University, Associate ProfessorE-mail confirmado em duke.edu
Sarv PriyaUniversity of Iowa HospitalsE-mail confirmado em uiowa.edu
Caitlin WardAssistant Professor, University of Minnesota Division of BiostatisticsE-mail confirmado em umn.edu
Chuanhai LiuProfessor of Statistics, Purdue UniversityE-mail confirmado em purdue.edu
Yixiang XuUniversity of California, BerkeleyE-mail confirmado em berkeley.edu
Trevor CampbellAssociate Professor, Statistics, UBCE-mail confirmado em stat.ubc.ca

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Sanvesh Srivastava

Associate Professor at Department of Statistics and Actuarial Science, The University of Iowa

E-mail confirmado em uiowa.edu - Página inicial

Distributed Bayesian Inference Computational Statistics Genetics Latent Variable Models High-Dimensional Regularization


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Scalable Bayes via barycenter in Wasserstein space S Srivastava, C Li, DB Dunson Journal of Machine Learning Research 19 (8), 1-35, 2018	198	2018
WASP: Scalable Bayes via barycenters of subset posteriors S Srivastava, V Cevher, Q Dinh, D Dunson Artificial intelligence and statistics, 912-920, 2015	196	2015
Scalable and robust Bayesian inference via the median posterior S Minsker, S Srivastava, L Lin, D Dunson International conference on machine learning, 1656-1664, 2014	127	2014
Robust and scalable Bayes via a median of subset posterior measures S Minsker, S Srivastava, L Lin, DB Dunson Journal of Machine Learning Research 18 (124), 1-40, 2017	118	2017
Simple, scalable and accurate posterior interval estimation C Li, S Srivastava, DB Dunson Biometrika 104 (3), 665-680, 2017	73	2017
Differential expression—the next generation and beyond PL Auer, S Srivastava, RW Doerge Briefings in functional genomics 11 (1), 57-62, 2012	42	2012
Presurgical detection of brain invasion status in meningiomas based on first-order histogram based texture analysis of contrast enhanced imaging SG Kandemirli, S Chopra, S Priya, C Ward, T Locke, N Soni, S Srivastava, ... Clinical neurology and neurosurgery 198, 106205, 2020	37	2020
A divide-and-conquer Bayesian approach to large-scale kriging R Guhaniyogi, C Li, TD Savitsky, S Srivastava arXiv preprint arXiv:1712.09767, 2017	36	2017
Essential role of the plasmid hik31 operon in regulating central metabolism in the dark in Synechocystis sp. PCC 6803 S Nagarajan, S Srivastava, LA Sherman Molecular microbiology 91 (1), 79-97, 2014	29	2014
Distributed Bayesian varying coefficient modeling using a Gaussian process prior R Guhaniyogi, C Li, TD Savitsky, S Srivastava Journal of machine learning research 23 (84), 1-59, 2022	28	2022
Rat intersubjective decisions are encoded by frequency‐specific oscillatory contexts J Schaich Borg, S Srivastava, L Lin, J Heffner, D Dunson, K Dzirasa, ... Brain and behavior 7 (6), e00710, 2017	25	2017
Expandable factor analysis S Srivastava, BE Engelhardt, DB Dunson Biometrika 104 (3), 649-663, 2017	21	2017
Retrospective, dual-centre review of imaging findings in neurosarcoidosis at presentation: prevalence and imaging sub-types G Bathla, CW Freeman, T Moritani, JW Song, S Srivastava, N Soni, ... Clinical radiology 75 (10), 796. e1-796. e9, 2020	19	2020
Scalable Bayes under informative sampling TD Savitsky, S Srivastava Scandinavian Journal of Statistics 45 (3), 534-556, 2018	15	2018
Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines S Srivastava, W Wang, G Manyam, C Ordonez, V Baladandayuthapani EURASIP Journal on Bioinformatics and Systems Biology 2013, 1-11, 2013	15	2013
Inbreeding depression in genotypically matched diploid and tetraploid maize H Yao, S Srivastava, N Swyers, F Han, RW Doerge, JA Birchler Frontiers in genetics 11, 564928, 2020	14	2020
Distributed Bayesian inference in massive spatial data R Guhaniyogi, C Li, T Savitsky, S Srivastava Statistical science 38 (2), 262-284, 2023	13	2023
Distributed Bayesian inference in linear mixed-effects models S Srivastava, Y Xu Journal of computational and graphical statistics 30 (3), 594-611, 2021	12	2021
Divide-and-conquer Bayesian inference in hidden Markov models C Wang, S Srivastava Electronic Journal of Statistics 17 (1), 895-947, 2023	11	2023
An asynchronous distributed expectation maximization algorithm for massive data: the DEM algorithm S Srivastava, G DePalma, C Liu Journal of Computational and Graphical Statistics 28 (2), 233-243, 2019	10	2019

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