Sanvesh Srivastava
Sanvesh Srivastava
Assistant Professor at Department of Statistics and Actuarial Science, The University of Iowa
Verified email at uiowa.edu - Homepage
Title
Cited by
Cited by
Year
WASP: Scalable Bayes via barycenters of subset posteriors
S Srivastava, V Cevher, Q Dinh, D Dunson
Artificial Intelligence and Statistics, 912-920, 2015
1182015
Robust and scalable Bayes via a median of subset posterior measures
S Minsker, S Srivastava, L Lin, DB Dunson
The Journal of Machine Learning Research 18 (1), 4488-4527, 2017
902017
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
882014
Scalable Bayes via barycenter in Wasserstein space
S Srivastava, C Li, DB Dunson
The Journal of Machine Learning Research 19 (1), 312-346, 2018
852018
Simple, scalable and accurate posterior interval estimation
C Li, S Srivastava, DB Dunson
Biometrika 104 (3), 665-680, 2017
432017
Differential expression—the next generation and beyond
PL Auer, S Srivastava, RW Doerge
Briefings in functional genomics 11 (1), 57-62, 2012
392012
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
232014
A divide-and-conquer Bayesian approach to large-scale kriging
R Guhaniyogi, C Li, TD Savitsky, S Srivastava
arXiv preprint arXiv:1712.09767, 2017
172017
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
112017
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), 1-11, 2013
102013
Expandable factor analysis
S Srivastava, BE Engelhardt, DB Dunson
Biometrika 104 (3), 649-663, 2017
92017
Scalable Bayes under informative sampling
TD Savitsky, S Srivastava
Scandinavian Journal of Statistics 45 (3), 534-556, 2018
72018
Differential expression of candidate salivary effector proteins in field collections of Hessian fly, Mayetiola destructor
AJ Johnson, RH Shukle, MS Chen, S Srivastava, S Subramanyam, ...
Insect molecular biology 24 (2), 191-202, 2015
72015
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
42020
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
22019
Latent process decomposition of high-dimensional count data
S Srivastava, RW Doerge
Technical Report 11–03, Purdue University, 2011
22011
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior
R Guhaniyogi, C Li, TD Savitsky, S Srivastava
arXiv preprint arXiv:2006.00783, 2020
12020
Scalable Bayes under Informative Sampling
TD Savitsky, S Srivastava
arXiv preprint arXiv:1606.07488, 2016
12016
The parallel expectation maximization algorithm: Novel ideas in distributed iterative statistical computing
G DePalma, S Srivastava, C Liu
Technical Report, Purdue University. http://www. stat. purdue. edu …, 2014
12014
THE NUANCES OF STATISTICALLY ANALYZING NEXT-GENERATION SEQUENCING DATA
S Srivastava, RW Doerge
12012
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