 The Wasserstein metric is a natural way to compare the probability distributions of two variables "X" and "Y", where one variable is derived from the other by small, non-uniform perturbations (random or deterministic).In computer science, for example, the metric "W"1 is widely used to compare discrete distributions, "e.g.