Multivariate Analysis and Statistical Learning

Catalog description

Credits 3. 3 Lecture Hours. Matrix algebra; random vectors; multivariate distributions; copulas; multivariate generalizations of classical testing; principle component analysis; discriminant analysis; clustering; multidimensional scaling; factor analysis; canonical analysis. Prerequisites: MATH 304 or MATH 323 ; STAT 212 ; STAT 415 or equivalent.