Advancements in Bayesian Methods and Implementations
| Autor: | Alastair G Young, Arni S.R. Srinivasa Rao, C.R. Rao |
|---|---|
| EAN: | 9780323952699 |
| eBook Format: | ePUB/PDF |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 06.10.2022 |
| Kategorie: | |
| Schlagworte: | Asymptotics BIC Bayesian GLMM Bayesian inference Bayesian model selection Bayesian multiple testing Covariance matching Cross validation DIC Data augmentation Dependent data Dictionary learning EM Empirical risk mi Information criterion |
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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