Seminar-A random matrix perspective of high-dimensional data analysis

09/20/2013 - 12:00pm
Mesa Laboratory - Damon Room

A random matrix perspective of high-dimensional data analysis

Debashis Paul, University of California, Davis

In this talk, we discuss how developments in random matrix theory (RMT) have influenced research in high-dimensional data analysis, including principal components analysis and factor analysis for complex data. We will mention several extensions of classical statistical procedures to high-dimensional settings that have been proposed by utilizing RMT. Recent developments, including the extension of the scope of RMT to deal with high-dimensional spatially and temporally dependent data models, will also be mentioned.

Date: Friday, September 20, 2013

Location: Mesa Laboratory, Damon Room

Time: 12:00pm