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Bayes分析中多源验前信息融合的ML-II方法
引用本文:冯静,周经伦,孙权.Bayes分析中多源验前信息融合的ML-II方法[J].数学的实践与认识,2006(6).
作者姓名:冯静  周经伦  孙权
作者单位: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
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.

关 键 词:Bayes分析  ML-II原理  多源信息  信息融合

Fusion of Information of Multiple Sources Based on ML-II Theory in Bayesian Analysis
FENG Jing,ZHOU Jing-lun,SUN Quan.Fusion of Information of Multiple Sources Based on ML-II Theory in Bayesian Analysis[J].Mathematics in Practice and Theory,2006(6).
Authors:FENG Jing  ZHOU Jing-lun  SUN Quan
Abstract: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.
Keywords:Bayesian analysis  ML-II theory  information of multiple sources  information fusion
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