Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book explains the fundamental ideas of Bayesian analysis, with a focus on computational methods such as MCMC and available software such as R/R-INLA, OpenBUGS, JAGS, Stan, and BayesX. It is suitable as a textbook for a first graduate-level course and a. N� de r�f. du vendeur 255209545

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Computational Bayesian Statistics : An Introduction

Turkman, Maria Antonia Amaral; Paulino, Carlos Daniel; Muller, Peter

Edit� par Cambridge University Press, 2019

ISBN 10 : 1108481035 ISBN 13 : 9781108481038

Neuf Couverture rigide

Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni

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Etat : New. N� de r�f. du vendeur 33846963-n

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Computational Bayesian Statistics (Hardcover)

Carlos Daniel Paulino

Edit� par Cambridge University Press, Cambridge, 2019

ISBN 10 : 1108481035 ISBN 13 : 9781108481038

Neuf Couverture rigide

Vendeur : Grand Eagle Retail, Fairfield, OH, Etats-Unis

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Hardcover. Etat : new. Hardcover. Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models, with particular focus on computational methods and schemes. The unique features of the text are the extensive discussion of available software packages combined with a brief but complete and mathematically rigorous introduction to Bayesian inference. The text introduces Monte Carlo methods, Markov chain Monte Carlo methods, and Bayesian software, with additional material on model validation and comparison, transdimensional MCMC, and conditionally Gaussian models. The inclusion of problems makes the book suitable as a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion of Bayesian software - R/R-INLA, OpenBUGS, JAGS, STAN, and BayesX - makes it useful also for researchers and graduate students from beyond statistics. This book explains the fundamental ideas of Bayesian analysis, with a focus on computational methods such as MCMC and available software such as R/R-INLA, OpenBUGS, JAGS, Stan, and BayesX. It is suitable as a textbook for a first graduate-level course and as a user's guide for researchers and graduate students from beyond statistics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9781108481038

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Computational Bayesian Statistics: An Introduction

Turkman, M. Antonia Amaral/ Paulino, Carlos Daniel/ Muller, Peter

Edit� par Cambridge Univ Pr, 2019

ISBN 10 : 1108481035 ISBN 13 : 9781108481038

Neuf Couverture rigide

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Vendeur : Revaluation Books, Exeter, Royaume-Uni

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Hardcover. Etat : Brand New. 243 pages. 9.00x6.00x0.75 inches. In Stock. This item is printed on demand. N� de r�f. du vendeur __1108481035

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Computational Bayesian Statistics

M. Ant�nia Amaral Turkman

Edit� par Cambridge University Press, 2019

ISBN 10 : 1108481035 ISBN 13 : 9781108481038

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This integrated introduction to fundamentals, computation, and software is your key to understanding and using advanced Bayesian methods. N� de r�f. du vendeur 9781108481038

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Computational Bayesian Statistics: An Introduction - Couverture rigide

Amaral Turkman, M. Ant�nia; Paulino, Carlos Daniel; M�ller, Peter

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