Decision Rules: Maximum a Posteriori Decision

This lecture covers the possible decision rules based on likelihood ratios, focusing on the maximum a posteriori decision. It explains how to select the class with the highest probability given an observation, emphasizing the concept of posterior maximization. The lecture also introduces the concept of true likelihood ratio and its calculation, highlighting its importance in decision-making processes.