摘要
稳健贝叶斯方法可用来处理先验信息的不确定性问题,把先验分布限定在Γ族,由此得到一些最优准则.结合先验分布的ε-代换类,在指数保费原理下得出稳健贝叶斯保费和后验Γ-极小极大保费.
Robust Bayesian methodology can be used to deal with the uncertainty of priori information,and the prior distribution is restricted in the scope of Γ-cluster,from which some optimal rules can be derived.Combining with theε-contaminated class of prior distribution,we obtain the robust Bayesian premium and posteriorΓ-minimax premium under the exponential premium principle in the present paper.
出处
《西南大学学报(自然科学版)》
CAS
CSCD
北大核心
2016年第3期83-89,共7页
Journal of Southwest University(Natural Science Edition)
基金
国家自然科学基金项目(11361058)
关键词
稳健贝叶斯方法
指数保费原理
后验Γ-极小极大保费
robust Bayesian methodology
exponential premium principle
posterior regret Γ-minimax premium