198 citations · 514 across the 8 of their papers we have counts for
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Pushing the Limits of Contemporary Statistics: Contributions in Honor of Jayanta K. Ghosh
Bertrand Clarke, Subhashis Ghosal
Jayanta Kumar Ghosh is one of the most extraordinary professors in the field of Statistics. His research in numerous areas, especially asymptotics, has been groundbreaking, influen…
J. K. Ghosh's contribution to statistics: A brief outline
Bertrand Clarke, Subhashis Ghosal
Professor Jayanta Kumar Ghosh has contributed massively to various areas of Statistics over the last five decades. Here, we survey some of his most important contributions. In roug…
Posterior consistency of Dirichlet mixtures of beta densities in estimating positive false discovery rates
Subhashis Ghosal, Anindya Roy, Yongqiang Tang
In recent years, multiple hypothesis testing has come to the forefront of statistical research, ostensibly in relation to applications in genomics and some other emerging fields. T…
Nonparametric Bayesian model selection and averaging
Subhashis Ghosal, Jüri Lember, Aad van der Vaart
We consider nonparametric Bayesian estimation of a probability density based on a random sample of size from this density using a hierarchical prior. The prior consists, fo…
Kullback Leibler property of kernel mixture priors in Bayesian density estimation
Yuefeng Wu, Subhashis Ghosal
Positivity of the prior probability of Kullback-Leibler neighborhood around the true density, commonly known as the Kullback-Leibler property, plays a fundamental role in posterior…
Posterior convergence rates of Dirichlet mixtures at smooth densities
Subhashis Ghosal, Aad van der Vaart
We study the rates of convergence of the posterior distribution for Bayesian density estimation with Dirichlet mixtures of normal distributions as the prior. The true density is as…