Bayesian decision problem
= Bayesian decision problem
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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.