Markov Chain Monte Carlo Stochastic Simulation For Bayesian Inference(2nd Edition)
Authors:
Dani Gamerman, Hedibert F. Lopes
Type:Hardcover/ PaperBack / Loose Leaf
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Book details
ISBN: 1584885874, 9781584885870
Book publisher: Chapman And Hall/CRC
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Customer Reviews
Trusted feedback from verified buyers
VL
Definitely worth reading for stats enthusiasts!
IH
This book is an absolute gem for anyone diving into Bayesian inference using MCMC. The second edition brings even more clarity and depth, making complex topics accessible. The examples are well thought out and align perfectly with theoretical concepts, which really helps in bridging the gap between understanding and application. Plus, the book arrived quickly and was well-packaged. I'm thoroughly impressed and highly recommend it to students and professionals alike. The practical tips in the book are invaluable.
KH
Markov Chain Monte Carlo can be a daunting subject, but this book manages to make it approachable. The balance between theoretical insights and practical application is well maintained. However, some chapters could use a bit more detail, especially for those without a strong statistical background. Still, it's a solid guide that anyone with an interest in Bayesian inference would benefit from. I got an extra discount with my Prime subscription, which was a nice bonus.





























