In this program
- Posterior simulation: Monte Carlo methods
- Introduction to MCMC: Metropolis–Hastings and Gibbs
- Bayesian linear
- Logistic regression
- Model comparison: Bayes factors (intro)
- Sensitivity to prior choice
Computation and models
Introduction to MCMC: Metropolis–Hastings and Gibbs
Bayesian statistics · Theoretical / proof-based
Topic
Introduction to MCMC: Metropolis–Hastings and Gibbs
Undergraduate Bayesian statistics — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).