Bayesian Workflow exists as a physical book!

We’re very excited about this book. It’s the result of several years of effort. You can order from the publisher or from Amazon. Here’s the book’s webpage, which includes the data and code for the book’s examples and case studies, of which there are many. Here’s the table of contents: Part 1: From Bayesian inference to Bayesian workflow 1. Bayesian theory and Bayesian practice 2. Statistical modeling and workflow 3. Computational tools 4. Introduction to workflow: Modeling performance on a multiple choice exam Part 2: Statistical workflow 5. Building statistical models 6. Using simulations to capture uncertainty 7. Prediction, generalization, and causal inference 8. Visualizing and checking fitted models 9. Comparing and improving models 10. Statistical inference and scientific inference Part 3: Computational workflow 11. Fitting statistical models 12. Diagnosing and fixing problems with fitting 13. Approximate algorithms and approximate models 14. Simulation-based calibration…