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# Doing Bayesian Data Analysis: A Tutorial Introduction with R

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There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides an accessible approach, as all m
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Hardcover, 653 pages

Published
October 27th 2010
by Academic Press

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The exercises are good for reinforcement, although I think they would have provided more benefit within the text during the early chapters instead of concentrated at the end. (Also, the associated code is rather messy; not that R is the most expre ...more

It’s easy to understand, explains everything well, and offers up so much about the topic. You do not need to be an expert in the field to understand this book, as this book takes you from the basics through to a more complex understanding.

Certainly worth reading if you want a better understanding.

Aug 03, 2017
Joe Cole
rated it
it was amazing

Recommended to Joe by:
https://www.newcollegetextbook.com/in...

Shelves:
college-textbooks

If you need to learn how to perform Bayesian statistics and understand it, then this is the book for you. I have been looking for a book like this for 3 years. I get Bayes Rule, but when I tried plunging into Gelman's excellent book, it just assumed too much and I stumbled around. This book was slightly basic for me, but the examples and exercises have been just right for helping things to click for me.

Great introductory text to applied Bayesian analysis

I agree with its self-assessment on the skill level required of early-graduate student or final-year undergraduate. You need enough calculus to know what a differential or integral expression

*means*but not how to evaluate it. The rest of the maths is what most call algebra but mathematicians call arithmetic, i.e. manipulating expressions with variables, not group theory or the like.

It is aimed at those who want to solve real-wor ...more

Jan 26, 2016
Michael Culbertson
rated it
it was amazing
·
review of another edition

Shelves:
statistics

A fabulous (and thorough!) entry-level text on applied Bayesian data analysis (very likely the best intro text currently available). No background in statistics is strictly required, though students familiar with the basics (means, standard deviations, probability distributions, linear models, etc.) will have a bit of an easier time with the material. The presentation does make use of calculus, but the gist can be understood without it, and Kruschke is careful to walk through any derivations in
...more

It is very well written. The explanations are very clear.

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