84 citations · 244 across the 8 of their papers we have counts for
4 papers · 1 filter
Model Selection and Multiple Testing - A Bayesian and Empirical Bayes Overview and some New Results
Ritabrata Dutta, Malgortaza Bogdan, Jayanta K. Ghosh
We provide a brief overview of both Bayes and classical model selection. We argue tentatively that model selection has at least two major goals, that of finding the correct model o…
Asymptotic Bayes-optimality under sparsity of some multiple testing procedures
Małgorzata Bogdan, Arijit Chakrabarti, Florian Frommlet +1
Within a Bayesian decision theoretic framework we investigate some asymptotic optimality properties of a large class of multiple testing rules. A parametric setup is considered, in…
Consistency of a recursive estimate of mixing distributions
Surya T. Tokdar, Ryan Martin, Jayanta K. Ghosh
Mixture models have received considerable attention recently and Newton [Sankhyā Ser. A 64 (2002) 306--322] proposed a fast recursive algorithm for estimating a mixing distribution…
A comparison of the Benjamini-Hochberg procedure with some Bayesian rules for multiple testing
Małgorzata Bogdan, Jayanta K. Ghosh, Surya T. Tokdar
In the spirit of modeling inference for microarrays as multiple testing for sparse mixtures, we present a similar approach to a simplified version of quantitative trait loci (QTL)…