STATS 225
Bayesian Statistical Analysis
Introduction to the Bayesian approach to statistical inference. Topics include univariate and multivariate models, choice of prior distributions, hierarchical models, computation including Markov chain Monte Carlo, model checking, and model selection.
Topics
- univariate and multivariate models
- choice of prior distributions
- hierarchical models
- computation including Markov chain Monte Carlo
- model checking
- and model selection
Topics explicitly listed in official catalogue description
Prerequisites & course information
Introduction to the Bayesian approach to statistical inference. Topics include univariate and multivariate models, choice of prior distributions, hierarchical models, computation including Markov chain Monte Carlo, model checking, and model selection.
Sources
- Course catalogue ↗2026-2027