A covariance matrix is a square matrix that captures the covariance between multiple random variables. It is a key concept in statistics, probability theory, and multivariate data analysis. Each element in the covariance matrix represents the covariance between two variables.
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For a random vector with finite second moments, its covariance matrix isIt is positive semidefinite, and the variance of is .