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Sanvesh Srivastava
Sanvesh Srivastava
Associate Professor at Department of Statistics and Actuarial Science, The University of Iowa
Bestätigte E-Mail-Adresse bei uiowa.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
WASP: Scalable Bayes via barycenters of subset posteriors
S Srivastava, V Cevher, Q Dinh, D Dunson
Artificial intelligence and statistics, 912-920, 2015
1912015
Scalable Bayes via barycenter in Wasserstein space
S Srivastava, C Li, DB Dunson
Journal of Machine Learning Research 19 (8), 1-35, 2018
1902018
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
1262014
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
1182017
Simple, scalable and accurate posterior interval estimation
C Li, S Srivastava, DB Dunson
Biometrika 104 (3), 665-680, 2017
702017
Differential expression—the next generation and beyond
PL Auer, S Srivastava, RW Doerge
Briefings in functional genomics 11 (1), 57-62, 2012
422012
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
372020
A divide-and-conquer Bayesian approach to large-scale kriging
R Guhaniyogi, C Li, TD Savitsky, S Srivastava
arXiv preprint arXiv:1712.09767, 2017
342017
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
292014
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
262022
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
242017
Expandable factor analysis
S Srivastava, BE Engelhardt, DB Dunson
Biometrika 104 (3), 649-663, 2017
222017
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
192020
Scalable Bayes under informative sampling
TD Savitsky, S Srivastava
Scandinavian Journal of Statistics 45 (3), 534-556, 2018
152018
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
152013
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
132020
Distributed Bayesian inference in massive spatial data
R Guhaniyogi, C Li, T Savitsky, S Srivastava
Statistical science 38 (2), 262-284, 2023
122023
Distributed Bayesian inference in linear mixed-effects models
S Srivastava, Y Xu
Journal of computational and graphical statistics 30 (3), 594-611, 2021
122021
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
122019
Divide-and-conquer Bayesian inference in hidden Markov models
C Wang, S Srivastava
Electronic Journal of Statistics 17 (1), 895-947, 2023
112023
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