首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Bayesian and robust Bayesian analysis in a general setting
Authors:Ali Karimnezhad  Ahmad Parsian
Institution:1. Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada;2. School of Mathematics, Statistics and Computer Science, University of Tehran, Tehran, Iran
Abstract:In this paper we introduce a broad family of loss functions based on the concept of Bregman divergence. We deal with both Bayesian estimation and prediction problems and show that all Bayes solutions associated with loss functions belonging to the introduced family of losses satisfy the same equation. We further concentrate on the concept of robust Bayesian analysis and provide one equation that explicitly leads to robust Bayes solutions. The results are model-free and include many existing results in Bayesian and robust Bayesian contexts in the literature.
Keywords:Bayesian inference  Bregman divergence  loss function  posterior regret Gamma minimax  robust Bayesian inference
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号