Bayes Rules!: An Introduction to Applied Bayesian Modeling

I: Bayesian foundations
1 The Big (Bayesian) Picture
2 Bayes' Rule
3 The Beta-Binomial Bayesian Model
4 Balance and Sequentiality in Bayesian Analyses
5 Conjugate Families
II: Posterior Simulation & Analysis
6 Approximating the Posterior
7 MCMC under the Hood
8 Posterior Inference and Prediction
III: Bayesian Regression & Classification
9 Simple Normal Regression
10 Evaluating Regression Models
11 Extending the Normal Regression Model
12 Poisson and Negative Binomial Regression
13 Logistic Regression
14 Naive Bayes Classification
IV: Hierarchical Bayesian models
15 Hierarchical Models are Exciting
16 (Normal) Hierarchical Models Without Predictors
17 (Normal) Hierarchical Models With Predictors
18 Non-Normal Hierarchical Regression & Classification
19 Adding More Layers