MULTIVARIATE STAT ANALY

STA 832

Classical and modern statistical methods for the analysis of multivariate data. Topics include: exploratory data analysis via matrix and tensor factorizations, linear and multilinear models for vector, matrix and tensor-valued data, group invariance approaches to estimation and testing, copula models for non-Gaussian data, and high-dimensional multivariate regression and covariance estimation. Instructor: Hoff

Day / Time: 

MW 10:05 AM-11:20 AM

Location: 

Perkins 087

Instructor: 

Hoff, Peter

Section: 

01