On concentration of the empirical measure for radial transport costs

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Larsson, Martin, Park, Jonghwa, Wiesel, Johannes
Format: Preprint
Veröffentlicht: 2023
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866929222823444480
author Larsson, Martin
Park, Jonghwa
Wiesel, Johannes
author_facet Larsson, Martin
Park, Jonghwa
Wiesel, Johannes
contents Let $μ$ be a probability measure on $\mathbb{R}^d$ and $μ_N$ its empirical measure with sample size $N$. We prove a concentration inequality for the optimal transport cost between $μ$ and $μ_N$ for radial cost functions with polynomial local growth, that can have superpolynomial global growth. This result generalizes and improves upon estimates of Fournier and Guillin. The proof combines ideas from empirical process theory with known concentration rates for compactly supported $μ$. By partitioning $\mathbb{R}^d$ into annuli, we infer a global estimate from local estimates on the annuli and conclude that the global estimate can be expressed as a sum of the local estimate and a mean-deviation probability for which efficient bounds are known.
format Preprint
id arxiv_https___arxiv_org_abs_2305_18636
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On concentration of the empirical measure for radial transport costs
Larsson, Martin
Park, Jonghwa
Wiesel, Johannes
Statistics Theory
Probability
Let $μ$ be a probability measure on $\mathbb{R}^d$ and $μ_N$ its empirical measure with sample size $N$. We prove a concentration inequality for the optimal transport cost between $μ$ and $μ_N$ for radial cost functions with polynomial local growth, that can have superpolynomial global growth. This result generalizes and improves upon estimates of Fournier and Guillin. The proof combines ideas from empirical process theory with known concentration rates for compactly supported $μ$. By partitioning $\mathbb{R}^d$ into annuli, we infer a global estimate from local estimates on the annuli and conclude that the global estimate can be expressed as a sum of the local estimate and a mean-deviation probability for which efficient bounds are known.
title On concentration of the empirical measure for radial transport costs
topic Statistics Theory
Probability
url https://arxiv.org/abs/2305.18636