Bayesian Nonparametrics - Dirichlet Process and application

Abstract

This talk would present a brief overview of some popular priors studied in Bayesian nonparametrics. Starting with Dirichlet process, we will explore mixture models hierarchical models and indicate some applications. If time permits, we will also discuss some issues related to asymptotic validation of these methods.