Lecture
Discriminant Analysis: Bayes Rule
Description
This lecture covers the discriminant analysis, focusing on the Bayes discriminant rule. It explains how to allocate individuals to different populations based on measurements, considering prior probabilities. The lecture discusses the maximum likelihood discriminant rule, optimal properties in the case of equal costs, decision theory with unequal costs, and discrimination under estimation. It also presents the sample discriminant rule, likelihood ratio discriminant rule, and Fisher's Linear Discriminant Function.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.