Monte Carlo Methods in Bayesian Computation

With an equal mix of theory and applications involving real data, this book presents the theoretical background of the Markov chain Monte Carlo (MCMC) methods and examines advanced Bayesian computational methods. 20 illus. Read More

With an equal mix of theory and applications involving real data, this book presents the theoretical background of the Markov chain Monte Carlo (MCMC) methods and examines advanced Bayesian computational methods. 20 illus. Read Less

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  	This is a digital edition of this title. Rent eBook (5 Options) 30 Day Rental: $29.70 (Expires May 31, 2025) 60 Day Rental: $39.60 (Expires Jun 30, 2025) 90 Day Rental: $49.50 (Expires Jul 30, 2025) 120 Day Rental: $59.40 (Expires Aug 29, 2025) 180 Day Rental: $64.35 (Expires Oct 28, 2025) Buy eBook Lifetime Access: $99.00 Title: Monte Carlo Methods in Bayesian Computation by Ming-Hui Chen; Qi-Man Shao; Joseph G. Ibrahim Publisher: Springer Nature Print ISBN: 9780387989358, 0387989358 eText ISBN: 9781461212768 Edition: 2000 2000 edition Format: PDF eBook	$29.70 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ