JOURNAL OF THE JAPAN STATISTICAL SOCIETY
Online ISSN : 1348-6365
Print ISSN : 1882-2754
ISSN-L : 1348-6365
Articles
Limiting Bayes Estimates of Estimable Parameters Based on Dirichlet Processes
Hajime Yamato
Author information
JOURNAL FREE ACCESS

2016 Volume 46 Issue 2 Pages 155-164

Details
Abstract

Based on the Dirichlet process as a prior, we give the Bayes estimate of the estimable parameter of an arbitrary degree, whose form is different from Yamato (1977b). From it, we derive the simple form of the limit of Bayes estimate as the parameter of the Dirichlet process tends to zero.

Content from these authors
© 2016 Japan Statistical Society
Previous article Next article
feedback
Top