most citedConvergence rates of posterior distributions for noniid observations

198 citations · 514 across the 8 of their papers we have counts for

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math.ST2008

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…

math.ST20081 cited

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…

math.ST20087 cited

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…

math.ST20086 cited

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…

math.ST200794 cited

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…

math.ST2007117 cited

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…