A Concentration Inequality for the Covariance Matrix of an Arbitrary Subset of Random Vectors

Huikang Liu, Peng Wang, Laura Balzano

Concentration inequalities for sample covariance matrices are fundamental tools in high-dimensional probability. Classical results typically assume that the selected random vectors…