Proper Correlation Coefficients for Nominal Random Variables
Lukas Wermuth · Sep 19, 2025
Date: 2025-09-19
Time: 15:30-16:30 (Montreal time)
Location: In person, Burnside 1104
https://mcgill.zoom.us/j/83914219181
Meeting ID: 839 1421 9181
Passcode: None
Abstract:
Vintage factor analysis is one important type of factor analysis that aims to first find a low-dimensional representation of the original data, and then to seek a rotation such that the rotated low-dimensional representation is scientifically meaningful. The most widely used vintage factor analysis is the Principal Component Analysis (PCA) followed by the varimax rotation. Despite its popularity, little theoretical guarantee can be provided to date mainly because varimax rotation requires to solve a non-convex optimization over the set of orthogonal matrices.