Bayesian Statistics
Expected loss refers to the average loss that can be anticipated when making decisions under uncertainty, typically calculated using a loss function. It connects the potential consequences of decisions with their associated probabilities, allowing for the evaluation of risk. By quantifying the expected loss, it becomes easier to determine optimal decision rules that minimize potential losses in various scenarios.
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