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7 papers · 1 filter
On the adaptive elastic-net with a diverging number of parameters
Hui Zou, Hao Helen Zhang
We consider the problem of model selection and estimation in situations where the number of parameters diverges with the sample size. When the dimension is high, an ideal method sh…
Inference for censored quantile regression models in longitudinal studies
Huixia Judy Wang, Mendel Fygenson
We develop inference procedures for longitudinal data where some of the measurements are censored by fixed constants. We consider a semi-parametric quantile regression model that m…
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…