Skip to main content
Back to top
Ctrl
+
K
Think Bayes
Think Bayes 2
Front Matter
Preface
Chapters
1. Probability
2. Bayes’s Theorem
3. Distributions
4. Estimating Proportions
5. Estimating Counts
6. Odds and Addends
7. Minimum, Maximum, and Mixture
8. Poisson Processes
9. Decision Analysis
10. Testing
11. Comparison
12. Classification
13. Inference
14. Survival Analysis
15. Mark and Recapture
16. Logistic Regression
17. Regression
18. Conjugate Priors
19. MCMC
20. Approximate Bayesian Computation
Examples
The Red Line Problem
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
Comparing birth rates
How Many Typos?
How Many Books?
The All-Knowing Cube of Probability
What’s a chartist?
Index