Wasserstein upper bounds of [formula omitted]-norms for multivariate densities in Besov spaces

Abstract

While the total variation between two probability measures cannot be bounded by Wasserstein metrics in general, it is possible if they possess smooth densities. More generally, we demonstrate that Lp-distances between densities in Besov spaces can be bounded by powers of the Wasserstein metrics.