A Brief Introduction to Bayesian Inference: From Tea to Beer
Johnny B. van Doorn · Zenodo (CERN European Organization for Nuclear Research) · 2023
This booklet offers an introduction to Bayesian inference. We look at how different models make different claims about a parameter, how they learn from observed data, and how we can compare these models to each other. We illustrate these ideas through an informal beer-tasting experiment conducted at the University of Amsterdam. Html version available at https://johnnydoorn.github.io/BayesBookdown/