Lecture 1: Review of Matrix Theory
Lecture 2: Multivariate Normal Distribution
Lecture 3: Wishart Distribution
Lecture 4: Statistical Inference about the Multivariate Normal Distribution
Lecture 5: Principle Component Analysis and Linear Dimension Reduction
Lecture 6: Classification
Lecture 7: Factor Analysis and Independent Component Analysis
Lecture 8: Clustering