Bayesian Regression: Theory & Practice

Basics: Bayesian Data Analysis, Wrangling, Plotting, and Linear Regression

Author

Michael Franke

This chapter introduces the basics of Bayesian linear regression modeling.

It contains tutorials covering:

  1. simple linear regression models (with WebPPL),
  2. simple linear regression models (with brms),
  3. how to inspect and set priors and how to obtain prior and predictive samples with brms.