This lecture overviews Statistical Detection that has many applications in Machine Learning, Signal Analysis and Statistical Communications. It covers the following topics in detail: Signal or Noise Decision, Cost Function, Likelihood Ratio Test, MAP Detector, Neyman-Pearson Hypothesis Testing.
