Deviation and moment inequalities for Banach-valued $U$-statistics
Davide Giraudo (IRMA, UNISTRA UFR MI)

TL;DR
This paper establishes deviation inequalities and moment bounds for Banach-valued U-statistics, with applications to laws of large numbers and functional central limit theorems in Banach spaces.
Contribution
It introduces new deviation and moment inequalities for Banach-valued U-statistics under smoothness conditions, extending classical results to Banach space settings.
Findings
Deviation inequality for Banach-valued U-statistics
Rates in the law of large numbers for U-statistics
A H{"o}lderian functional central limit theorem
Abstract
We show a deviation inequality for U-statistics of independent data taking values in a separable Banach space which satisfies some smoothness assumptions. We then provide applications to rates in the law of large numbers for U-statistics, a H{\"o}lderian functional central limit theorem and a moment inequality for incomplete -statistics.
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