Advancements in Bayesian Methods and Implementations
Academic Press
Published on 6. October 2022
320 pages
978-0-323-95269-9 (ISBN)
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
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Additional editions
Alastair G. Young | Arni S.R. Srinivasa Rao | C.R. Rao
Advancements in Bayesian Methods and Implementations: Volume 47
Book
09/2022
Academic Press
€247.60
Shipment within 15-20 days
Persons
Content
1. Fisher Information, Cramer-Rao and Bayesian ParadigmRoy Frieden2. Compound beta binomial distribution functionsAngelo Plastino3. MCMC for GLMMSVivekananda Roy 4. Signal Processing and BayesianChandra Murthy5. Mathematical theory of Bayesian statistics where all models are wrongSumio Watanabe6. Machine Learning and BayesianJun Zhu7. Non-parametric BayesStephen Walker8. Bayesian testingChristian Robert9. Data Analysis with humansSumio Kaski10. Bayesian Inference under selectionG. Alastair Young10. Variational inference or Functional horseshoeAnirban Bhattacharya11. Generalized Bayes Ryan Martin
