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Prior processes and their applications : nonparametric Bayesian estimation

著者: Eswar G Phadia
出版商: Heidelberg ; New York : Springer, ©2013.
版本/格式:   电子图书 : 文献 : 英语查看所有的版本和格式
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This book presents a systematic and comprehensive treatment of various prior processes that have been developed over the last four decades in order to deal with the Bayesian approach to solving some nonparametric inference problems. Applications of these priors in various estimation problems are presented. Starting with the famous Dirichlet process and its variants, the first part describes processes neutral to the  再读一些...
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类型/形式: Electronic books
附加的形体格式: Print version:
材料类型: 文献, 互联网资源
文件类型: 互联网资源, 计算机文档
所有的著者/提供者: Eswar G Phadia
ISBN: 9783642392801 3642392806 9781299860865 1299860869 3642392792 9783642392795
OCLC号码: 856013004
描述: 1 online resource.
内容: Prior Processes --
Inference Based on Complete Data --
Inference Based on Incomplete Data.
责任: Eswar G. Phadia.
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From the book reviews: "The book under review is likely to be of use to graduate students and researchers interested in prior processes and their applications to Bayesian nonparametrics." (Ross S. 再读一些...

 
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