Bayesian decision problem

A prior on a parameter, a conditional observation distribution, an action space and a loss specify a Bayesian decision problem. The normal form minimizes prior expected loss over decision rules; the extensive form minimizes posterior expected loss after each observation. Conditional expectation gives the same Bayes risk for these formulations, provided measurable optimal or approximate choices can be made.