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
Posterior simulation: Monte Carlo methods
Bayesian statistics · Theoretical / proof-based
Topic
Posterior simulation: Monte Carlo methods
Undergraduate Bayesian statistics — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).