# Bayesian Essentials with R [book review]

**R – Xi'an's Og**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

[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 Bayesianmethods of data analysis. I found the use of R, the code in the book, and thecompanion R package, bayess, to be helpful to those who want to begin usingBayesian methods in data analysis. One topic that I would like to see added isthe use of Bayesian methods in change point problems, a topic that we founduseful 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

Filed under: Books, R, Statistics, University life Tagged: Bayesian Core, Bayesian Essentials with R, book review, Jean-Michel Marin, Kent State University, R, Technometrics, time series

**leave a comment**for the author, please follow the link and comment on their blog:

**R – Xi'an's Og**.

R-bloggers.com offers

**daily e-mail updates**about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.