ECE 561: Statistical Inference for Engineers and Data Scientists

Course Description

Fundamental principles of statistical decision theory and their application to hypothesis testing and estimation; classical optimality criteria for decision rules; computationally efficient implementations; sequential decision-making; performance analysis; asymptotic properties and performance of decision rules. 4 graduate hours. No professional credit. Prerequisite: ECE 534.