This lecture uses matrix algebra to illustrate some basic ideas about probability theory. After providing somewhat informal definitions of the underlying objects, we'll use matrices and vectors to ...
These lectures will survey the theoretical foundations of large sample covariance matrices. The goal is a comprehensive picture of the eigenvalues and eigenvectors (for instance the principal ...
This repository contains materials developed by Ian Grooms for the math camp in Linear Algebra & Computing at CU-Boulder's Department of Applied Mathematics for incoming PhD students. The material is ...
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