Volume 1, Number 1 and 2 (November 2002)
JIRSS 2002, 1(1 and 2): 143-163 |
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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: (5226 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.
Subject:
60: Probability theory and stochastic processes
Received: 2011/08/25 | Accepted: 2015/09/12
Received: 2011/08/25 | Accepted: 2015/09/12
