Inference on covariance operators via concentration inequalities: k-sample tests, classification, and clustering via Rademacher complexities

Adam B. Kashlak, John A. D. Aston, Richard Nickl

We propose a novel approach to the analysis of covariance operators making use of concentration inequalities. First, non-asymptotic confidence sets are constructed for such operato…