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Prior processes and their applications : nonparametric Bayesian estimation

Autor Eswar G Phadia
Vydavatel: Heidelberg ; New York : Springer, ©2013.
Vydání/formát:   e-kniha : Document : EnglishZobrazit všechny vydání a formáty
Databáze:WorldCat
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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  Přečíst více...
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Detaily

Žánr/forma: Electronic books
Doplňující formát: Print version:
Typ materiálu: Document, Internetový zdroj
Typ dokumentu: Internet Resource, Computer File
Všichni autoři/tvůrci: Eswar G Phadia
ISBN: 9783642392801 3642392806 9781299860865 1299860869 3642392792 9783642392795
OCLC číslo: 856013004
Popis: 1 online resource.
Obsahy: Prior Processes --
Inference Based on Complete Data --
Inference Based on Incomplete Data.
Odpovědnost: 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. Přečíst více...

 
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