Computational Bayesian Statistics Vol. 11An Introduction |
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| Author:
| Turkman, M. Antónia Amaral
Paulino, Carlos Daniel M.
Müller, Peter |
| Series title: | Institute of Mathematical Statistics Textbooks Ser. |
| ISBN: | 978-1-108-70374-1 |
| Publication Date: | Feb 2019 |
| Publisher: | Cambridge University Press
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| Book Format: | Paperback |
| List Price: | USD $41.99 |
Book Description:
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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.
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.