Ruibin Xi
Department of Mathematics, Washington University
 
 
Title: Dirichlet process and its applications to Bayesian analysis
 
Abstract: The Bayesian approach to statistical parametric problems is fruitful in many ways. But it seems hard to treat nonparametric problems using the Bayesian approach. This is due to the difficulty in finding workable prior distribution. Dirichlet processes prove to be a workable prior for nonparametric problems.