activity
20082018
most citedA comparison of the Benjamini-Hochberg procedure with some Bayesian rules for multiple testing

84 citations · 244 across the 8 of their papers we have counts for

collaborators

8 papers

math.DS2018

Qualitative Analysis and Optimal Control Strategy of an SIR Model with Saturated Incidence and Treatment

Jayanta Kumar Ghosh, Uttam Ghosh, M. H. A. Biswas +1

This paper deals with an SIR model with saturated incidence rate affected by inhibitory effect and saturated treatment function. Two control functions have been used, one for vacci…

cs.CV2018

Fixation Data Analysis for High Resolution Satellite Images

Ashu Sharma, Jayanta Kumar Ghosh, Saptrarshi Kolay

The presented study is an eye tracking experiment for high-resolution satellite (HRS) images. The reported experiment explores the Area Of Interest (AOI) based analysis of eye fixa…

math.ST2015★ 10 cited

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…

stat.ME2011★ 29 cited

Stochastic Approximation and Newton's Estimate of a Mixing Distribution

Ryan Martin, Jayanta K. Ghosh

Many statistical problems involve mixture models and the need for computationally efficient methods to estimate the mixing distribution has increased dramatically in recent years.…

stat.CO2010★ 11 cited

Bayes Model Selection with Path Sampling: Factor Models and Other Examples

Ritabrata Dutta, Jayanta K. Ghosh

We prove a theorem justifying the regularity conditions which are needed for Path Sampling in Factor Models. We then show that the remaining ingredient, namely, MCMC for calculatin…

math.ST2010★ 74 cited

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…