bayesf22
Notebook
Main bayesf22 class
Statistical Rethinking
Bayes Rules!
19: Adding more layers
Bayes Rules!
Reading notes
2: Bayes’ Rule
3: The Beta-Binomial Bayesian Model
5: Conjugate families
6: Approximating the posterior
7: MCMC under the Hood
8: Posterior inference and prediction
9: Simple normal regression
10: Evaluating regression models
11: Extending the normal regression model
12: Poisson & negative binomial regression
13: Logistic regression
15: Hierarchical models are exciting
16: Hierarchical models without predictors
17: Hierarchical models with predictors
18: Non-normal hierarchical regression & classification
19: Adding more layers
Exercises
4: Balance and sequentiality in Bayesian Analyses
5: Conjugate families
19: Adding more layers
Reading notes
Published
November 9, 2022
(Original chapter)
18: Non-normal hierarchical regression & classification
4: Balance and sequentiality in Bayesian Analyses