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.
出处
《数学的实践与认识》
CSCD
北大核心
2006年第6期142-145,共4页
Mathematics in Practice and Theory
关键词
BAYES分析
ML—II原理
多源信息
信息融合
Bayesian analysis
ML-II theory
information of multiple sources
information fusion
