An exponential inequality for Hilbert-valued U-statistics of i.i.d. data

Fuente: arXiv
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Auteur principal: Giraudo, Davide
Format: Preprint
Publié: 2024
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author Giraudo, Davide
author_facet Giraudo, Davide
contents In this paper, we establish an exponential inequality for U-statistics of i.i.d. data, varying kernel and taking values in a separable Hilbert space. The bound are expressed as a sum of an exponential term plus an other one involving the tail of a sum of squared norms. We start by the degenerate case. Then we provide applications to U-statistics of not necessarily degenerate fixed kernel, weighted U-statistics and incomplete U-statistics.
format Preprint
id arxiv_https___arxiv_org_abs_2409_11737
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle An exponential inequality for Hilbert-valued U-statistics of i.i.d. data
Giraudo, Davide
Probability
Statistics Theory
In this paper, we establish an exponential inequality for U-statistics of i.i.d. data, varying kernel and taking values in a separable Hilbert space. The bound are expressed as a sum of an exponential term plus an other one involving the tail of a sum of squared norms. We start by the degenerate case. Then we provide applications to U-statistics of not necessarily degenerate fixed kernel, weighted U-statistics and incomplete U-statistics.
title An exponential inequality for Hilbert-valued U-statistics of i.i.d. data
topic Probability
Statistics Theory
url https://arxiv.org/abs/2409.11737