Volume 1, Issue 1 And 2 (November 2002)
JIRSS 2002, 1(1 And 2): 143-163 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Walker S G. Bayesian Nonparametric and Parametric Inference. JIRSS. 2002; 1 (1 and 2) :143-163
URL: http://jirss.irstat.ir/article-1-90-en.html
URL: http://jirss.irstat.ir/article-1-90-en.html
Abstract: (7345 Views)
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.
Received: 2011/08/25 | Accepted: 2015/09/12
