STT-465
- BAYESIAN STATISTICAL METHODS
About the Course
- Probability, belief, and exchangeability. Objective, subjective, and empirical Bayes approaches. Applications to one-parameter models, linear regression models, and multivariate normal models. Hierarchical modeling. Computational methods.
- Fall (every year) Credits: 3
- Elective: PhD Biostatistics
- Core Course: PhD Biostatistics
Prerequisite
- STT 422