Xi'an's Og

I thought I had posted a full-length review of the Bayesian Workflow, but the fact is I haven’t! Here is the blurb I wrote (upon request) for Chapman & Hall (and reproduced on Andrew’s blog):

“This original, thought-provoking, and transformative book is much much more than an implementation manual for Bayesian Data Analysis, even though it shares almost the same perspective. (The first sentence of the book states that the authors’ “conceptions of statistical practice, and of Bayesian statistics, have changed over the years”.) By providing a modus vivendi for undertaking Bayesian modelling from scratch in realistic settings where models are not magicked out of the blue, the authors explicit and rationalise the many steps required by such a bottom-up modelling protocol (“not a checklist, not a cookbook”, and not a flowchart!) in real situations. The contents read very well and very smoothly, with a seamless conjunction of intuition, modelling advices, computational details, and comparison tools. While unsurprisingly Bayesian, the perspective adopted therein remains both open and inclusive, with a welcome humility about the limitations and challenges of Bayesian workflows. This book should thus appeal to and profit a wide variety of readers, as providing guidance through an extensive collection of highly detailed examples, with shared code and exercises.”

This entry was posted on August 5, 2026 at 12:26 am and is filed under Books, Statistics, University life with tags Andrew Gelman, Bayesian data analysis, Bayesian inference, Bayesian Methods for the Social Sciences, Bayesian workflow, BDA, book reviews, causal inference, Chapman & Hall, Columbia University, cookbook, practical Bayesian inference, social sciences, statistical modelling, statistical practice. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.