Bayes Rules! : An Introduction to Applied Bayesian Modeling (Hardcover)

List of Tables List of Figures Preface About the Author Chapter 1 The Big (Bayesian) Picture Chapter 2 Bayes’ Rule Chapter 3 The Beta-Binomial Bayesian Model Chapter 4 Balance and Sequentiality in Bayesian Analyses Chapter 5 Conjugate Families Chapter 6 Approximating the Posterior Chapter 7 MCMC Under the Hood Chapter 8 Posterior Inference and Prediction Chapter 9 Simple Normal Regression Chapter 10 Evaluating Regression Models Chapter 11 Extending the Normal Regression Model Chapter 12 Poisson and Negative Binomial Regression Chapter 13 Logistic Regression Chapter 14 Naive Bayes Classification Chapter 15 Hierarchical Models are Exciting Chapter 16 (Normal) Hierarchical Models Without Predictors Chapter 17 (Normal) Hierarchical Models With Predictors Chapter 18 Non-Normal Hierarchical Regression & Classification Chapter 19 Adding More Layers Bibliography Index