Limiting Bayes Estimates of Estimable Parameters Based on Dirichlet Processes

Hajime Yamato
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引用次数: 3

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.
基于Dirichlet过程的可估计参数的极限贝叶斯估计
本文以Dirichlet过程为先验,给出了与Yamato (1977b)不同的任意度可估计参数的Bayes估计。由此导出了当狄利克雷过程参数趋于零时,贝叶斯估计极限的简单形式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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