| shorttitle | Lecture9 |
|---|---|
| title | Lecture 9: Bayes and Sampling |
| layout | default |
| noline | 1 |
- First part of Bayes notebook
- Normal Model
- Sufficient Statistics, Exchangeability, and Poisson
- Checking a Model
- Bayesian Regression
- Kung San Weights from Normal model to regression
- Inverse Transform for sampling
- Rejection Sampling
- Chapter 1 from the Can-Davidson Pilon textbook.