Bayesian decision theory is a formal statistical framework for making optimal decisions under uncertainty. It integrates probability theory and utility theory to prescribe actions that maximize expected utility based on observed data and prior beliefs, providing a normative approach to rational choice in situations where outcomes are not fully determined.