A Free Course Book on Bayesian Inference: [8.] A Bayesian Reading List

Since 2017, Dora Matzke and I have been teaching the master course “Bayesian Inference for Psychological Science”. Over the years, the syllabus for this course matured into a book (and an accompanying book of answers) titled “Bayesian inference from the ground up: The theory of common sense”. The current plan is to finish the book in the next few months, and share the pdf publicly online. For now, you can click here or on the cover page below to read the first 239 pages [55 MB!]. Today we are adding another two chapters: “A Plethora of Pancakes”, and the appendix chapter “Recommended Readings”.

The Plethora of Pancakes chapter concludes Part II: Coherent Learning, Laplace Style. The recommended readings chapter (pp. 475-479) “presents a lightly annotated list of Bayesian books and articles that we find particularly insightful or inspiring. The selection is heavily biased towards the inclusion of works that can be understood by those without a degree in mathematical statistics.” And, at the end of five pages, we note: “We apologize if your favorite Bayesian resource is not listed – please attend us to this omission and we may include it in a next edition.” We hope the reading list is a useful resource.

The cover of our book

References

Wagenmakers, E.-J., & Matzke, D. (in preparation). Bayesian inference from the ground up: The theory of common sense.

Wagenmakers, E.-J., & Matzke, D. (in preparation). Bayesian inference from the ground up: Common sense in practice.