This article is concerned with the spectral behavior of p-dimensional linear processes in the moderately high-dimensional case when both dimensionality p and sample size n tend to infinity so that p/n ...

Indefinite approximations of positive semidefinite matrices arise in various data analysis applications involving covariance matrices and correlation matrices. We propose a method for restoring ...

The objectives of this course are: to develop competence in the basic concepts of linear algebra, including systems of linear equations, vector spaces, subspaces, linear transformations, the ...

APPM 3310 - Matrix Methods and Applications APPM 3310 - Matrix Methods and Applications Introduces linear algebra and matrices with an emphasis on applications, including methods to solve systems of ...

Solving systems of linear equations. Use and application of matrices including inverses, determinants, eigenvalues and eigenvectors. Solving difference equations. Differential and integral calculus ...

An introduction to the theory and application of generalised linear models for the analysis of continuous, categorical and count data, and regression models for survival data.

A linear regression is a statistical model that attempts to show the relationship between two variables with a linear equation. A regression analysis involves graphing a line over a set of data ...