Lecture

Principal Component Analysis: Properties and Applications

Description

This lecture covers the theory and applications of Principal Component Analysis (PCA) in multivariate statistics. It explains the definition and properties of principal components, including population and sample principal components. The lecture discusses the correlation structure, choice of components, and graphical representations. Additionally, it explores sampling properties, hypothesis testing, and the use of PCA in regression analysis.

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.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.