Siva Sivaganesan
Siva Sivaganesan
Department of Mathematical Sciences, University of Cincinnati
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Zitiert von
Zitiert von
An overview of robust Bayesian analysis
JO Berger, E Moreno, LR Pericchi, MJ Bayarri, JM Bernardo, JA Cano, ...
Test 3 (1), 5-124, 1994
Bayesian infinite mixture model based clustering of gene expression profiles
M Medvedovic, S Sivaganesan
Bioinformatics 18 (9), 1194-1206, 2002
The library of integrated network-based cellular signatures NIH program: system-level cataloging of human cells response to perturbations
AB Keenan, SL Jenkins, KM Jagodnik, S Koplev, E He, D Torre, Z Wang, ...
Cell systems 6 (1), 13-24, 2018
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
MA Sartor, CR Tomlinson, SC Wesselkamper, S Sivaganesan, ...
BMC bioinformatics 7 (1), 1-17, 2006
Ranges of posterior measures for priors with unimodal contaminations
S Sivaganesan, JO Berger
The Annals of Statistics 17 (2), 868-889, 1989
Statistical assessment of mediational effects for logistic mediational models
B Huang, S Sivaganesan, P Succop, E Goodman
Statistics in medicine 23 (17), 2713-2728, 2004
Range of posterior measures for priors with arbitrary contaminations
S Sivaganesan
Communications in Statistics-Theory and Methods 17 (5), 1591-1612, 1988
Context-specific infinite mixtures for clustering gene expression profiles across diverse microarray dataset
X Liu, S Sivaganesan, KY Yeung, J Guo, RE Bumgarner, M Medvedovic
Bioinformatics 22 (14), 1737-1744, 2006
Robust Bayesian diagnostics
S Sivaganesan
Journal of Statistical Planning and Inference 35 (2), 171-188, 1993
A Bayesian subgroup analysis with a zero‐enriched Polya Urn scheme
S Sivaganesan, PW Laud, P Müller
Statistics in medicine 30 (4), 312-323, 2011
On modeling change points in non-homogeneous Poisson processes
F Ruggeri, S Sivaganesan
Statistical Inference for Stochastic Processes 8 (3), 311-329, 2005
A semi-parametric Bayesian model for unsupervised differential co-expression analysis
JM Freudenberg, S Sivaganesan, M Wagner, M Medvedovic
BMC bioinformatics 11 (1), 1-15, 2010
Sensitivity of some posterior summaries when the prior is unimodal with specified quantiles
S Sivaganesan
Canadian Journal of Statistics 19 (1), 57-65, 1991
Global and local robustness approaches: uses and limitations
S Sivaganesan
Robust Bayesian Analysis, 89-108, 2000
On a global sensitivity measure for Bayesian inference
F Ruggeri, S Sivaganesan
Sankhyā: The Indian Journal of Statistics, Series A, 110-127, 2000
Subgroup finding via Bayesian additive regression trees
S Sivaganesan, P Müller, B Huang
Statistics in medicine 36 (15), 2391-2403, 2017
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
X Liu, WJ Jessen, S Sivaganesan, BJ Aronow, M Medvedovic
BMC bioinformatics 8 (1), 1-20, 2007
Genome-wide signatures of transcription factor activity: connecting transcription factors, disease, and small molecules
J Chen, Z Hu, M Phatak, J Reichard, JM Freudenberg, S Sivaganesan, ...
PLoS computational biology 9 (9), e1003198, 2013
Testing hypotheses about the power law process under failure truncation using intrinsic Bayes factors
RT Lingham, S Sivaganesan
Annals of the Institute of Statistical Mathematics 49 (4), 693-710, 1997
Robust Bayesian analysis of the binomial empirical Bayes problem
S Sivaganesan, J Berger
Canadian Journal of Statistics 21 (1), 107-119, 1993
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