Think Bayes
Think Bayes 2
Chapters
Preface
Probability
Bayes’s Theorem
Distributions
Estimating Proportions
Estimating Counts
Odds and Addends
Minimum, Maximum, and Mixture
Poisson Processes
Decision Analysis
Testing
Comparison
Classification
Inference
Survival Analysis
Mark and Recapture
Logistic Regression
Regression
Conjugate Priors
MCMC
Approximate Bayesian Computation
Examples
The Red Line Problem
Estimating vaccine efficacy
Flipping USB Connectors
The Left Handed Sister Problem
Bayesian Dice
The Emitter-Detector Problem
Grid algorithms for hierarchical models
repository
Index