Lecture Slides: Intro to Bayesian Inference
Introducing the basic concepts for Bayesian inference
These lecture slides introduce the basic concepts for Bayesian inference: Probability distributions, likelihoods, priors, posteriors, Markov chain Monte Carlo simulation, and model diagnostics (tip of the iceberg).
The slides are intended to be accompanied by in-person lecture and discussion, but we include them here for reference and self-study.