Covariance Matrix

Abstract

Covariance matrix is a generalization of covariance between two univariate random variables. It is composed of the pairwise covariance between components of a multivariate random variable. It underpins important stochastic processes such as Gaussian process, and in practice it provides key characterizations between multiple random factors.