Bayesian Modeling and Computation

Course Topics

• 01. Introduction to Bayesian Probability Modeling (Ch.1,2,3)(Lec. 1-4)
• 02. Regression Models from the Bayesian Perspective (Ch. 14,15)(Lec. 5,6)
• 03. Hierarchical and Mixture Models (Ch. 5,22)(Lec. 7,8)
• 04. Optimization for Model Estimation: EM and Variational Inference (Ch. 13)(Lec. 9)
• 05. Markov Chain Monte Carlo for Model Estimation (Ch. 10,11)(Lec. 10, 11)
• 06. Recent Advances in Monte Carlo Simulation (Ch. 12)
• 07. Model Checking (Ch. 6,7)
• 08. General Linear Models (Ch. 16)
• 09. Hidden Markov Models
• 10. Dynamic Linear Models
• 11. Non-parametric Bayesian models (Ch. 23)
• 12. Gaussian Processes (Ch. 21)
• 13. Bayesian Tree Models

Deployment

Tagging a commit will trigger the GitHub Action to generate a new release of PDF files.

To push a new commit with a tag,

git commit -m "prepare for v1.0.0 release"
git tag v1.0.0
git push origin main --tags

To tag an exist commit

git pull
git tag v0.0.3 44f171b3b29452269325c0363df0dc066c452154
git push origin main --tags