Computational Bayesian Statistics: An Introduction (Institute of Mathematical Statistics Textbooks, Series Number 11) free ebook download.

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Computational Bayesian Statistics: An Introduction (Institute of Mathematical Statistics Textbooks, Series Number 11) free ebook download

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Author(s):	M. Antonia Amaral Turkman

Date:	2021	Format:	pdf	Language:	English	ISBN/ASIN:	1108481035
Pages:	254	OCR:		Quality:		ISBN13:
Uploader:	eternal	Upload Date:	6/22/2023 8:20:13 AM

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1108481035 pdf
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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3171625	Book	https://nitroflare.com/view/B04B922CBEC3...		0.00	eternal

Tags: Bayesian Computational Institute Introduction Mathematical Number Statistics Textbooks

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