01-basics.qmd

---
title: "Bayesian Regression: Theory & Practice"
subtitle: "Basics: Bayesian Data Analysis, Wrangling, Plotting, and Linear Regression"
author: "Michael Franke"
---

This chapter introduces the basics of Bayesian linear regression modeling.

<!-- Here are the [slides on regression modeling](slides/01-intro-simpleRegress.pdf). -->

<!-- Follow up [slides on priors and predictives](slides/02-priors-predictives.pdf). -->

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`.