Statistical decision theory provides a framework for making optimal decisions based on statistical data. It involves defining a problem, identifying decision alternatives, determining the consequences of each alternative, and using statistical tools to estimate the probabilities of these consequences. The goal is to select the decision that minimizes expected loss or maximizes expected utility, taking into account the uncertainty associated with the data.
