*X*and

*Y*is the expectation of their product, minus the product of their expectations:

CovXY= EXY- EXEY

Covariance is of course analogous to the variance of a single random variable. The covariance function of a random process is its autocovariance; if this random process forms a vector, then the autocovariance of this vector forms its covariance matrix.