Prior Processes and Their Applications: Nonparametric Bayesian Estimation - Springer Series in Statistics - Eswar G. Phadia - Books - Springer International Publishing AG - 9783319813707 - April 22, 2018
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Eswar G. Phadia
Prior Processes and Their Applications: Nonparametric Bayesian Estimation - Springer Series in Statistics Softcover reprint of the original 2nd ed. 2016 edition

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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.

327 pages, 1 Tables, color; 1 Illustrations, color; XVII, 327 p. 1 illus. in color.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released April 22, 2018
ISBN13 9783319813707
Publishers Springer International Publishing AG
Pages 327
Dimensions 150 × 220 × 10 mm   ·   485 g
Language English  

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