首页 | 本学科首页   官方微博 | 高级检索  
     


Bayesian optimization analysis with ML-II ε-contaminated prior
Authors:Pankaj Sinha   Ashok K. Bansal
Affiliation: a Faculty of Management Studies, University of Delhi, Delhi, Indiab Department of Statistics, University of Delhi, Delhi, India
Abstract:In this paper we derive the predictive density function of a future observation when prior distribution for unknown mean of a normal population is a Type-II maximum likelihood ε-contaminated prior. The derived predictive distribution is applied to the problem of optimization of a regression nature in the decisive prediction framework.
Keywords:ε-contaminated prior,type II maximum likelihood technique,optimization analysis   decisive prediction
本文献已被 InformaWorld 等数据库收录!
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