Bayes分析中多源验前信息融合的ML-II方法  

Fusion of Information of Multiple Sources Based on ML-II Theory in Bayesian Analysis

作　　者：冯静[1] 周经伦[1] 孙权[1] 

机构地区：[1]国防科技大学人文与管理学院系统工程研究所,湖南长沙410073

出　　处：《数学的实践与认识》2006年第6期142-145,共4页Mathematics in Practice and Theory

摘　　要：在Bayes小子样理论中,验前分布的获取和表示是一个关键问题.针对工程实践中遇到的验前信息的多源性,给出了一种基于第二类极大似然估计原理(M L-II)的多源异总体验前分布的融合方法,并通过仿真实例证明了该方法的有效性.How to acquire proper prior distribution is a key problem in Bayesian analysis. Practically, the situation is that the prior information comes from different sources. A new method based on the second maximum likelihood theory to realize the fusion of information of multiple sources was proposed. The simulation example shows that the method proposed is effective.

关 键 词：BAYES分析 ML—II原理 多源信息 信息融合 

分 类 号：O212.8[理学—概率论与数理统计]