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High-Dimensional Regularization of the Spatial Sign Covariance Matrix for Robust Shape Estimation
Covariance estimation is a key component of many applications in system identification and data-driven control. Although heavy-tailed distributions may lack a covariance matrix to estimate, the shape matrix provides a well-defined, scale-free generalization for the broad family of elliptical distrib
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