Paperback. Condizione: new. Paperback. 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. Codice articolo 9781108703741

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Computational Bayesian Statistics: An Introduction

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

Editore: Cambridge Univ Pr, 2019

ISBN 10: 1108703747 ISBN 13: 9781108703741

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Paperback. Condizione: Brand New. 243 pages. 9.00x6.00x0.75 inches. In Stock. This item is printed on demand. Codice articolo __1108703747

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Computational Bayesian Statistics: An Introduction (Institute of Mathematical Statistics Textbooks)

Amaral Turkman, M. Ant�nia

Editore: Cambridge University Press CUP, 2019

ISBN 10: 1108703747 ISBN 13: 9781108703741

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Condizione: New. pp. 254. Codice articolo 26379249514

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Computational Bayesian Statistics: An Introduction

M. Antonia Amaral Turkman

Editore: Cambridge University Press, 2019

ISBN 10: 1108703747 ISBN 13: 9781108703741

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Da: THE SAINT BOOKSTORE, Southport, Regno Unito

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Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 412. Codice articolo C9781108703741

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