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Computational Bayesian Statistics - An Introduction (Paperback)
Loot Price: R1,122
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Computational Bayesian Statistics - An Introduction (Paperback)
Series: Institute of Mathematical Statistics Textbooks
Expected to ship within 10 - 15 working days
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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.
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