[A review of Bayesian Essentials that appeared in Technometrics two weeks ago, with the first author being rechristened Jean-Michael!]
“Overall this book is a very helpful and useful introduction to Bayesian methods of data analysis. I found the use of R, the code in the book, and the companion R package, bayess, to be helpful to those who want to begin using Bayesian methods in data analysis. One topic that I would like to see added is the use of Bayesian methods in change point problems, a topic that we found useful in a recent article and which could be added to the time series chapter. Overall this is a solid book and well worth considering by its intended audience.”
David E. BOOTH
Kent State University
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This entry was posted on July 28, 2016 at 12:16 am and is filed under Books, R, Statistics, University life with tags Bayesian Core, Bayesian Essentials with R, book review, Jean-Michel Marin, Kent State University, R, Technometrics, time series. You can follow any responses to this entry through the RSS 2.0 feed.
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Xi'an's Og 
August 12, 2016 at 4:01 am
Have you read this review?
https://www.amazon.com/gp/aw/review/1461486866/RS6U3IZ2BDGQ6/ref=cm_cr_dp_mb_rvw_2?ie=UTF8&cursor=2
I was interested in buying the kindle version, but now I’m in doubt.
Do you have anything to add?
Thanks.
August 12, 2016 at 4:41 pm
Dear Manoel, I had indeed seen this Amazon review. On the material side, I am sorry that the Kindle version does not work out. I contacted Springer about this and they state they cannot change the format, whatever that means. On the content side, the approach to time series is indeed very personal and idiosyncratic, and may hence not sound general enough for some readers. Considering more general time series would have required to introduce (advanced) particle filter algorithms. We did not want to add this level of complexity. Best, Christian
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