Lecture

Canonical Correlation Analysis

Description

This lecture covers the mathematical development of canonical correlation analysis, including population and sample CCA, scoring, and prediction. The instructor explains the key theorems and proofs, emphasizing the importance of CC vectors and their interpretation in multivariate statistics.

Instructor

occaecat eiusmod sint

Excepteur ullamco amet elit irure nisi mollit laborum dolor nulla. Excepteur aute ut amet exercitation reprehenderit ad aliqua eu veniam aliqua nisi ad. Proident ad Lorem dolore Lorem aliqua quis cillum in ad excepteur ex in ad esse. Sit in aute officia commodo quis enim nulla eiusmod laboris veniam esse labore.

Official source

https://mediaspace.epfl.ch/media/0_ltq877nm

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.

Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Data analysis: Regression analysis

Mathematics

Analysis: Measure theory

Algebra: Linear algebra

Mathematical logic: Set theory

Logic

Classical logic: First-order logic

Related lectures (101)

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.