STAT 330 Multivariate Statistics

An introduction to multivariate statistical models, well balancing three equally important elements: the mathematical theory, applications to real data, and computational techniques. Traditional multivariate models and their recent generalizations to tackle regression, data reduction and dimensionality reduction, classification, predictor and classifier instability problems. Tools for analyzing unstructured multivariate data.




STAT 220, STAT 230, STAT 240, STAT 250 (Please note: prerequisites are for M.Sc. students only) or Approval by course instructor