Nonparametric Bayesian Inference

Nonparametric Bayesian Inference

By: Peter Müller, Abel Rodriguez

Publication date: 2013

NSF-CBMS Regional Conference Series in Probability and Statistics, Volume 9

Title information

These notes arose out of a short course at UC Santa Cruz in summer 2010. Like the course, the notes provide an overview of some popular Bayesian nonparametric (BNP) probability models. The discussion follows a logical development of many commonly used nonparametric Bayesian models as generalizations of the Dirichlet process (DP) in different directions, including Pólya tree (PT) models, species sampling models (SSM), dependent DP (DDP) models and product partition models (PPM).

Pages: 110
Language: English
Publisher: Institute of Mathematical Statistics and American Statistical Assocation
No votes yet

Peter Müller, Abel Rodriguez