On the variability of the sample covariance matrix under complex elliptical distributions
Elias Raninen, Esa Ollila, David E. Tyler
Abstract
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Elias Raninen, Esa Ollila, David E. Tyler
Abstract
Open-access reader
We derive the form of the variance-covariance matrix for any affine equivariant matrix-valued statistics when sampling from complex elliptical distributions. We then use this result to derive the variance-covariance matrix of the sample covariance matrix (SCM) as well as its theoretical mean squared error (MSE) when finite fourth-order moments exist. Finally, illustrative examples of the formulas are presented.
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We derive the form of the variance-covariance matrix for any affine equivariant matrix-valued statistics when sampling from complex elliptical distributions. We then use this result to derive the variance-covariance matrix of the sample covariance matrix (SCM) as well as its theoretical mean squared error (MSE) when finite fourth-order moments exist. Finally, illustrative examples of the formulas are presented.
Key concepts: Covariance matrix, Estimation of covariance matrices, Mathematics, Law of total covariance, Scatter matrix, Covariance, Sample mean and sample covariance, Elliptical distribution