Bayes Risk is the expected value of the loss function associated with a decision rule, computed over the probability distribution of the possible states of nature. It helps to quantify how good or bad a decision rule is by considering both the potential outcomes and their associated costs. The goal is to minimize Bayes Risk, which directly relates to choosing optimal decision rules and evaluating risk and expected utility.
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