Numerical Linear Algebra and Statistical Computing

Course description

A course on the study of computational methods used in statistics. Topics to be covered include the simulation of stochastic processes, numerical linear algebra, QR decomposition and least squares regression, singular value decomposition and multivariate data, statistical programming languages, and graphical methods.

Prerequisite

STAT 5352 or STAT 6337

Semester
Fall 2019