From the Book - First edition.
The diachronic interpretation
2. Computational Statistics
Encapsulating the framework
Cumulative distribution functions
Summarizing the posterior
The odds form of Bayes's theorem
The Price is Right problem
Probability density functions
The Boston Bruins problem
The distribution of goals
The probability of winning
Estimating the arrival rate
Incorporating uncertainty
Conditional distributions
10. Approximate Bayesian Computation
The Variability Hypothesis
Mean and standard deviation
The posterior distribution of CV
Posterior distribution of efficacy
Caching the joint distribution
Conditional distributions
The Geiger counter problem
Extracting the posteriors
15. Dealing with Dimensions
Lions and tigers and bears
