Mateo Díaz

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 distributions. In this sett...