Kolmogorov-Smirnov distance and discrepancies versus Wasserstein distances

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Pagès, Gilles, Panloup, Fabien
Formato: Preprint
Publicado: 2026
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866918484403814400
author Pagès, Gilles
Panloup, Fabien
author_facet Pagès, Gilles
Panloup, Fabien
contents We establish inequalities that compare the p-Wasserstein distance to distances which are built as suprema of box measures. More precisely, when the measures are supported on $[0,1]^d$, we obtain sharp upper-bounds of the $p$-Wasserstein distance by (powers of) the (uniform) discrepancy. As an application, we retrieve the Pro\''inov Theorem. When the two distributions are supported {by the whole} $R^d$, {their} $p$-Wasserstein distance is upper bounded by the product of a (power of) their Kolmogorov-Smirnov (KS) distance with the sum of their $p$-moments. Reverse inequalities are established when one of the two distributions has a density, depending on its ${\cal L}^s$-integrability with respect to the Lebesgue measure for some $s>1$.
format Preprint
id arxiv_https___arxiv_org_abs_2605_03528
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Kolmogorov-Smirnov distance and discrepancies versus Wasserstein distances
Pagès, Gilles
Panloup, Fabien
Probability
We establish inequalities that compare the p-Wasserstein distance to distances which are built as suprema of box measures. More precisely, when the measures are supported on $[0,1]^d$, we obtain sharp upper-bounds of the $p$-Wasserstein distance by (powers of) the (uniform) discrepancy. As an application, we retrieve the Pro\''inov Theorem. When the two distributions are supported {by the whole} $R^d$, {their} $p$-Wasserstein distance is upper bounded by the product of a (power of) their Kolmogorov-Smirnov (KS) distance with the sum of their $p$-moments. Reverse inequalities are established when one of the two distributions has a density, depending on its ${\cal L}^s$-integrability with respect to the Lebesgue measure for some $s>1$.
title Kolmogorov-Smirnov distance and discrepancies versus Wasserstein distances
topic Probability
url https://arxiv.org/abs/2605.03528