Bayesian Modeling Lectures
- 0. Summary and Overview ↗
- 1. Basic Probability Theory ↗
- 2. Working with Discrete Probabilities ↗
- 3. Discrete Distributions ↗
- 4. Continuous Distributions ↗
- 5. Transitioning to Bayesian Inference ↗
- 6. Bayesian Sampling Methods ↗
- 7. EM Algorithm and Applications ↗
- 8. Factor Analysis and Scaling ↗
- 9. Regressions and HLMs ↗
- 10. MRP Case Study ↗
- 11. Practice Problems ↗