--- product_id: 9032695 title: "Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan" price: "£66.07" currency: GBP in_stock: true reviews_count: 9 url: https://www.desertcart.co.uk/products/9032695-doing-bayesian-data-analysis-a-tutorial-with-r-jags-stan store_origin: GB region: United Kingdom --- # Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan **Price:** £66.07 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan - **How much does it cost?** £66.07 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.co.uk](https://www.desertcart.co.uk/products/9032695-doing-bayesian-data-analysis-a-tutorial-with-r-jags-stan) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description desertcart.com: Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan: 9780124058880: Kruschke, John: Books Review: Excellent Resource - This book is outstanding. The author covers Bayesian analysis starting with the assumption that you know virtually nothing about it and builds to the point that you can do actual, meaningful analysis, interpret the results and communicate them to people that are not aware of Bayesian techniques. (I bought the book because of the "See inside" feature. Page 5 sealed the deal. If you do any type of statistical analysis check it out.) The writing is clear and there are numerous examples that are typically interesting which really helps. The author has a good sense of humor as well which is rare in a book that covers advanced material like this. The book is long. (>700 pages) But there is a LOT of material being covered. The "Doing" part of the book is done with R, JAGS and Stan, so if you aren't familiar with any of those, it's a lot to take in. I wasn't familiar with any of thee and I did fine. I had to read some parts multiple times but that might just be me. I did most of the exercises which really helped. (notable exception: 13.1) The book seems expensive at first. It's a textbook so there's that. However, you also get a very large number of R scripts to demonstrate the concepts. The scripts are useful and in my opinion worth as much as the book. (All of the software is free.) I have already used the scripts to suit analysis I needed to do. The book also really covers multiple topics so once I got into it I realized I got a great deal. I have received more value that I paid. Don't buy this thinking you are going to breeze through it and be able to actually *do* Bayesian analysis well. The book is true to the title but only if you put forth the time and effort. You absolutely can learn an enormous amount from this book. To the author, if you're reading this: Thank you! I am better at what I do because of this book. Review: Very Good - Edit: I've updated the rating from 1-star to 5 stars to properly reflect the quality of the content. Anything else would be unfair. I returned my original copy which was in an unacceptable condition (see text below plus the comments). I didn't mind the hazzle much, but I did incur some additional costs. I had to send the original copy back to desertcart which cost more than the 15$ refund, and I also had to pay for the (quick) delivery cost. Nonetheless, my impression is that the book is possibly the best introduction to Bayesian statistics on the market. And not only the best, but also very good in its own right. The book by Gelman et. al. is a leading textbook on the subject, and for a good reason, but the authors assume their readers have mastered intermediary statistics and have received a thorough prior introduction to Bayesian statistics. John Kruschke, in contrast, assumes very little knowledge of the former, and none of the latter. All expositions are intuitive rather than technical. The chapter on R taught me that I still have much to learn on the language, and makes me wonder how inefficient and cumbersome my R code has been thus far. I'm trying to think of any real complaints I have that are not merely a reflection of my eccentric nature, but I keep coming up short. Recommended. ------------- Please be aware that my review concerns the quality of the binding of the pages in the book, and not the actual intellectual content. I've only recently begun reading it, and I have no reason to believe that the other positive reviews are anything other than accurate. But yes, good as the exposition of the subject must be, the binding of the pages is poor in regular patterns. Although no pages have fallen out, I can't help but wonder if the book will stay in one piece for very long. I don't know if you can see the picture that I uploaded, but it shows only one opening, on page 82-83. Other openings are either similar or share the same fate. ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #312,341 in Books ( See Top 100 in Books ) #49 in Statistics (Books) #91 in Mathematical Analysis (Books) #218 in Probability & Statistics (Books) | | Customer Reviews | 4.6 4.6 out of 5 stars (214) | | Dimensions | 7.8 x 1.7 x 9.3 inches | | Edition | 2nd | | ISBN-10 | 0124058884 | | ISBN-13 | 978-0124058880 | | Item Weight | 3.7 pounds | | Language | English | | Print length | 776 pages | | Publication date | November 17, 2014 | | Publisher | Academic Press | ## Images ![Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan - Image 1](https://m.media-amazon.com/images/I/51A4QA6VPsL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Excellent Resource *by J***N on October 30, 2015* This book is outstanding. The author covers Bayesian analysis starting with the assumption that you know virtually nothing about it and builds to the point that you can do actual, meaningful analysis, interpret the results and communicate them to people that are not aware of Bayesian techniques. (I bought the book because of the "See inside" feature. Page 5 sealed the deal. If you do any type of statistical analysis check it out.) The writing is clear and there are numerous examples that are typically interesting which really helps. The author has a good sense of humor as well which is rare in a book that covers advanced material like this. The book is long. (>700 pages) But there is a LOT of material being covered. The "Doing" part of the book is done with R, JAGS and Stan, so if you aren't familiar with any of those, it's a lot to take in. I wasn't familiar with any of thee and I did fine. I had to read some parts multiple times but that might just be me. I did most of the exercises which really helped. (notable exception: 13.1) The book seems expensive at first. It's a textbook so there's that. However, you also get a very large number of R scripts to demonstrate the concepts. The scripts are useful and in my opinion worth as much as the book. (All of the software is free.) I have already used the scripts to suit analysis I needed to do. The book also really covers multiple topics so once I got into it I realized I got a great deal. I have received more value that I paid. Don't buy this thinking you are going to breeze through it and be able to actually *do* Bayesian analysis well. The book is true to the title but only if you put forth the time and effort. You absolutely can learn an enormous amount from this book. To the author, if you're reading this: Thank you! I am better at what I do because of this book. ### ⭐⭐⭐⭐⭐ Very Good *by S***N on March 23, 2015* Edit: I've updated the rating from 1-star to 5 stars to properly reflect the quality of the content. Anything else would be unfair. I returned my original copy which was in an unacceptable condition (see text below plus the comments). I didn't mind the hazzle much, but I did incur some additional costs. I had to send the original copy back to Amazon which cost more than the 15$ refund, and I also had to pay for the (quick) delivery cost. Nonetheless, my impression is that the book is possibly the best introduction to Bayesian statistics on the market. And not only the best, but also very good in its own right. The book by Gelman et. al. is a leading textbook on the subject, and for a good reason, but the authors assume their readers have mastered intermediary statistics and have received a thorough prior introduction to Bayesian statistics. John Kruschke, in contrast, assumes very little knowledge of the former, and none of the latter. All expositions are intuitive rather than technical. The chapter on R taught me that I still have much to learn on the language, and makes me wonder how inefficient and cumbersome my R code has been thus far. I'm trying to think of any real complaints I have that are not merely a reflection of my eccentric nature, but I keep coming up short. Recommended. ------------- Please be aware that my review concerns the quality of the binding of the pages in the book, and not the actual intellectual content. I've only recently begun reading it, and I have no reason to believe that the other positive reviews are anything other than accurate. But yes, good as the exposition of the subject must be, the binding of the pages is poor in regular patterns. Although no pages have fallen out, I can't help but wonder if the book will stay in one piece for very long. I don't know if you can see the picture that I uploaded, but it shows only one opening, on page 82-83. Other openings are either similar or share the same fate. ### ⭐⭐⭐⭐⭐ Best Bayesian Book *by M***S on September 3, 2015* I have an undergraduate degree in Statistics however I never learned Bayesian statistics as this is typically taught to graduate students. Even so, this book is very easy to learn from. The author puts together a recommended order of reading the chapters depending on how much time you have. I read 3-4 chapters and I skipped ahead to the model with one predictor (essentially the linear regression model with one predictor). He gives the code for programs with comments in R that are easy to understand and run. His website has all the programs written in R that use JAGS and Stan and solutions to the exercises to the first 15 or so chapters (more are on the way). Loving this book, style of reading is also very conversational. It does get into the math at times but generally it is light and the technical parts can be skimmed over if you're more interested in the "doing" part as I am. Very practical book! Explains very well with plenty of graphs. ## Frequently Bought Together - Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan - Statistical Rethinking: A Bayesian Course with Examples in R and STAN (Chapman & Hall/CRC Texts in Statistical Science) - Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science) --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.co.uk/products/9032695-doing-bayesian-data-analysis-a-tutorial-with-r-jags-stan](https://www.desertcart.co.uk/products/9032695-doing-bayesian-data-analysis-a-tutorial-with-r-jags-stan) --- *Product available on Desertcart United Kingdom* *Store origin: GB* *Last updated: 2026-05-19*