ABSTRACT
However, frequentists note that compounding is not “Bayesian” at all, but merely the simple use of conditional probability, producing marginal distributions of x that are of importance in their own right. Bayesians argue that the Bayesian approach subsumes compounding, and that the results held in such high regard by frequentists are merely the low hanging, easily plucked fruit from the Bayesian tree. In any event, recognizing the potential of compounding is a useful skill for the developing Bayesian statistician.
