摘要
讨论贝叶斯参数估计理论中利用最大熵原理确定参数的先验概率的逆问题,并且以泊松分布和指数分布为例给出证明.通过求解相应的微分方程和变分方程,得到所需约束条件.
The inverse problem in Bayesian inference by maximum entropy principle was discussed.The detailed proofs were given by two examples on Poisson distribution and exponential distribution.By solving differential equation and variant equation,the corresponding constraints were obtained.
出处
《东北石油大学学报》
CAS
北大核心
2012年第6期101-103,12,共3页
Journal of Northeast Petroleum University
关键词
贝叶斯统计
最大熵原理
逆问题
泊松分布
指数分布
Bayesian estimation
maximum entropy principle
inverse problem
Poisson distribution
exponential distribution
