Prior Processes and Their Applications : Nonparametric Bayesian Estimation. 2nd ed. 2016

種類:

電子ブック

責任表示:

by Eswar G. Phadia

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2016

著者名:

• Phadia, Eswar G.
• SpringerLink (Online service)

シリーズ名:

Springer Series in Statistics ;

ISBN:

9783319327891 [3319327895]    

注記:

Prior Processes -- Inference Based on Complete Data -- Inference Based on Incomplete Data. .
This book presents a systematic and comprehensive treatment of various prior processes that have been developed over the past four decades for dealing with Bayesian approach to solving selected nonparametric inference problems. This revised edition has been substantially expanded to reflect the current interest in this area. After an overview of different prior processes, it examines the now pre-eminent Dirichlet process and its variants including hierarchical processes, then addresses new processes such as dependent Dirichlet, local Dirichlet, time-varying and spatial processes, all of which exploit the countable mixture representation of the Dirichlet process. It subsequently discusses various neutral to right type processes, including gamma and extended gamma, beta and beta-Stacy processes, and then describes the Chinese Restaurant, Indian Buffet and infinite gamma-Poisson processes, which prove to be very useful in areas such as machine learning, information retrieval and featural modeling. Tailfree and P

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