Bayesian Agility: A Stepwise Demonstration of Encoding Prior Knowledge for Inference
A practical guide to Bayesian regression, showing how to encode prior knowledge for robust inference in small or outlier-prone datasets. In this post, I contrast frequentist and Bayesian approaches, emphasizing the advantages of informed priors and richer uncertainty estimates.