Random Matrix Improved Covariance Estimation for a Large Class of Metrics

Malik Tiomoko, Romain Couillet, Florent Bouchard, Guillaume Ginolhac

Abstract: Relying on recent advances in statistical estimation of covariance distances based on random matrix theory, this article proposes an improved covariance and precision matrix estimation for a wide f...