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Top Bayesian Data Analysis Books



The AI Optify data team writes about topics that we think technologits will love. AI Optify has affiliate partnerships so we may get a share of the revenue from your purchase.

Bayesian Data Analysis Books - For this post, we have scraped a range of data signals (e.g. reviews/ratings, covered topics, author influence in the field, year of publication, social media mentions etc.) from web for a number of Bayesian Data Analysis books. We have fed all above signals to a trained Machine Learning algorithm to compute a score for each book and rank the top books.

The readers will love our list because it is Data-Driven & Objective. Enjoy the list:


1. Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan
$61.55

Score: 100/100

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets.


2. Bayesian Data Analysis
$63.84

Score: 89/100

Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors―all leaders in the statistics community―introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice.