期刊文献+

稳健贝叶斯方法在指数保费原理下的应用

Application of Robust Bayesian Methodology Under the Exponential Premium Principle
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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
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