摘要
在Bayes分析中,先验分布的选取是其基本问题,尤其是在无先验信息的情况下,如何确定先验分布更是Bayes学派关注的焦点。基于Jeffreys提出的利用Fisher信息矩阵确定无信息先验分布的方法,给出了负二项分布和Weibull分布的先验分布公式。
In the Bayesian assessments, to select the prior distribution is basic. Especially, how to confirm prior distribution on the condition of vague prior distribution becomes a focus of Bayes School. This paper is based on Fisher＇s information matrix to confirm prior distribution given by Jeffreys, and provides the prior distributions of Negative binomial distribution and Weibull distribution.
出处
《金陵科技学院学报》
2008年第3期4-6,共3页
Journal of Jinling Institute of Technology
关键词
先验分布
Jeffreys准则
负二项分布
威布尔分布
prior distribution
Jeffreys displine
Negative binomial distribution
Weibull distribution
