随机序列定义的贝叶斯方法及其在统计推断中的应用

2006 IEEE International Symposium on Information Theory Pub Date : 2006-07-09 DOI:10.1109/ISIT.2006.261937

Hayato Takahashi

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引用次数: 3

摘要

我们引入了一个普适贝叶斯检验，它是Martin-Lof检验的贝叶斯版本。然后，我们根据我们的通用贝叶斯检验定义了参数模型的随机序列。本文从随机序列的角度论述了贝叶斯统计推断的几个相关定理

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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Bayesian approach to a definition of random sequences and its applications to statistical inference

We introduce a universal Bayes test, which is a Bayesian version of Martin-Lof test. Then we define random sequences with respect to parametric models based on our universal Bayes test. We state some theorems related to Bayesian statistical inference in terms of random sequence

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2006 IEEE International Symposium on Information Theory

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