Using prior information in Bayesian inference with application to fault diagnosis

被引：0

作者：

Pernestal, Anna ^{[1
]}

Nyberg, Mattias ^{[1
]}

机构：

[1] Linkoping Univ, Dept Elect Engn, S-58183 Linkoping, Sweden

来源：

BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING | 2007年 / 954卷

关键词：

Bayesian inference; Bayesian classification; prior information; fault diagnosis;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper we consider Bayesian inference using training data combined with prior information. The prior information considered is response and causality information which gives constraints on the posterior distribution. It is shown how these constraints can be expressed in terms of the prior probability distribution, and how to perform the computations. Further, it is discussed how this prior information improves the inference.

引用

页码：418 / +

页数：2

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