The minimax decision rule is a strategy used in decision theory that aims to minimize the potential maximum loss in a worst-case scenario. This rule is particularly important in situations where there is uncertainty about the outcomes and it helps decision-makers choose actions that protect against the worst possible consequences. By focusing on minimizing the maximum loss, this rule connects deeply with concepts like loss functions and how decisions are evaluated under risk and uncertainty.
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