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Advancements in Bayesian Methods and Implementations

Advancements in Bayesian Methods and Implementations

Authors
Publisher Elsevier S & T
Year 06/10/2022
Edition First
Version eBook: Reflowable eTextbook (ePub)
Language English
ISBN 9780323952699
Categories Stochastics
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Book description

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.
  • Provides the authority and expertise of leading contributors from an international board of authors
  • Presents the latest release in the Handbook of Statistics series
  • Updated release includes the latest information on Advancements in Bayesian Methods and Implementation

Advancements in Bayesian Methods and Implementations

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