Slides
- Course Overview
- Data Visualization
- Review of Linear Algebra
- Multivariate Random Variables
- Multivariate Normal Distribution
- Maximum Likelihood Theory
- Tests for Multivariate Means I
- R code
- Notes on quadratic forms and ellipses
- Tests for Multivariate Means II
- Multivariate Analysis of Variance
- Multivariate Linear Regression
- Principal Component Analysis
- Introduction to Statistical Genetics
- Factor Analysis
- Canonical Correlation Analysis
- Multidimensional Scaling
- Kernel Methods
- Manifold Learning
- PageRank Algorithm