Multivariate Analysis

Catalog description

This is a course focusing on multivariate statistical methods. High dimensional statistics is one of the most important advanced field of statistics that is used extensively by practitioners and is not covered by the undergraduate curriculum. The course topics include advanced linear algebra, multivariate normal distribution and derived distributions, ANOVA and MANOVA, Principal Component Analysis, Factor Analysis and canonical correlations.