Bayesian Nonparametric and Parametric Inference

Author
Stephen G. Walker
Abstract
This paper reviews Bayesian Nonparametric methods and discusses how parametric predictive densities can be constructed using nonparametric ideas.
Keywords
consistency
decision theory
Dirichlet process
expected utility rule
Hellinger distance
Kullback-Leibler divergence
nonparametric prior
parametric predictive density
Journal of the Iranian Statistical Society
Volume 1, Issue 1
November 2002
Pages 143-163

  • Receive Date 23 July 2022