6.1 Bayes’ Rule for Discrete Values of θ
6.2 Discretizing a Continuous Prior Density
6.2.1 Examples Using Discretized Priors
6.4 Prediction of Subsequent Data
6.5 Model Comparison
6.7 R Code
6.7.1 R Code for Figure 6.2 and the Like
I’m kinda coarse while the lady’s refined,
I kinda stumble while she holds the line.
But both of us side-step and guess what the answer is;
Both might feel better with (psycho-)analysis.
The previous chapter considered how to make inferences about a binomial proportion when the prior could be specified as a beta distribution. Using the beta distribution was convenient because it made the integrals work out ...