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Advancements in Bayesian Methods and Implementations

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Advancements in Bayesian Methods and Implementations Synopsis

Advancements in Bayesian Methods and Implementation, Volume 47 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Fisher Information, Cramer-Rao and Bayesian Paradigm, Compound beta binomial distribution functions, MCMC for GLMMS, Signal Processing and Bayesian, Mathematical theory of Bayesian statistics where all models are wrong, Machine Learning and Bayesian, Non-parametric Bayes, Bayesian testing, and Data Analysis with humans, Variational inference or Functional horseshoe, Generalized Bayes.

About This Edition

ISBN: 9780323952682
Publication date:
Author: Alastair G Young, Arni SR Srinivasa Rao, CR Rao
Publisher: Academic Press an imprint of Elsevier Science
Format: Hardback
Pagination: 320 pages
Series: Handbook of Statistics
Genres: Stochastics

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