Another of the key tasks of inference is to determine the value of a parameter in a model on the basis of observed data
A closer look at prior distributions
Model comparison is one of the principal tasks on inference. Given some data, how does the plausibility of different models change? Does the data select out a particular model as being better?
Some consequences of the product rule are explored including the famous Bayes' rule.
Variables are introduced and then some consequences of the sum-rule are explored.