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Prior Processes and Their Applications : Nonparametric Bayesian Estimation

Author: Phadia Eswar G
Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edition/Format:   Print book : Document   Computer File : EnglishView all editions and formats
Database:WorldCat
Summary:
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  Read more...
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Additional Physical Format: Printed edition:
Prior Processes and Their Applications
Material Type: Document
Document Type: Book, Computer File
All Authors / Contributors: Phadia Eswar G
ISBN: 9783642392801 3642392806
OCLC Number: 940643026
Description: 1 online resource (XIV, 207 p. 1 illus.) online resource.
Contents: Prior Processes --
Inference Based on Complete Data --
Inference Based on Incomplete Data.
Responsibility: by Phadia Eswar G.
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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. Read more...

 
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