9781461212775: Monte Carlo Methods in Bayesian Computation
Softcover
ISBN 10: 1461212774 ISBN 13: 9781461212775
Verlag: Springer, 2021

Inhaltsangabe

Dealing with methods for sampling from posterior distributions and how to compute posterior quantities of interest using Markov chain Monte Carlo (MCMC) samples, this book addresses such topics as improving simulation accuracy, marginal posterior density estimation, estimation of normalizing constants, constrained parameter problems, highest posterior density interval calculations, computation of posterior modes, and posterior computations for proportional hazards models and Dirichlet process models. The authors also discuss model comparisons, including both nested and non-nested models, marginal likelihood methods, ratios of normalizing constants, Bayes factors, the Savage-Dickey density ratio, Stochastic Search Variable Selection, Bayesian Model Averaging, the reverse jump algorithm, and model adequacy using predictive and latent residual approaches. The book presents an equal mixture of theory and applications involving real data, and is intended as a graduate textbook or a reference book for a one-semester course at the advanced masters or Ph.D. level. It will also serve as a useful reference for applied or theoretical researchers as well as practitioners.

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Verlag
Springer
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
1461212774
ISBN 13 
9781461212775
Einband
Taschenbuch
Anzahl der Seiten
404
Kontakt zum Hersteller
ROXIO
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
22391
Deutschland

Weitere beliebte Ausgaben desselben Titels

9780387989358: Monte Carlo Methods in Bayesian Computation (Springer Series in Statistics)

Vorgestellte Ausgabe

ISBN 10:  0387989358 ISBN 13:  9780387989358
Verlag: Springer, 2000
Hardcover