Decoupling and randomization for double-indexed permutation statistics

Fuente: arXiv
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Auteurs principaux: Zou, Mingxuan, Xu, Jingfan, Ding, Peng, Han, Fang
Format: Preprint
Publié: 2026
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author Zou, Mingxuan
Xu, Jingfan
Ding, Peng
Han, Fang
author_facet Zou, Mingxuan
Xu, Jingfan
Ding, Peng
Han, Fang
contents This paper introduces a version of decoupling and randomization to establish concentration inequalities for double-indexed permutation statistics. The results yield, among other applications, a new combinatorial Hanson-Wright inequality and a new combinatorial Bennett inequality. Several illustrative examples from rank-based statistics, graph-based statistics, and causal inference are also provided.
format Preprint
id arxiv_https___arxiv_org_abs_2601_20018
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Decoupling and randomization for double-indexed permutation statistics
Zou, Mingxuan
Xu, Jingfan
Ding, Peng
Han, Fang
Statistics Theory
Econometrics
Probability
This paper introduces a version of decoupling and randomization to establish concentration inequalities for double-indexed permutation statistics. The results yield, among other applications, a new combinatorial Hanson-Wright inequality and a new combinatorial Bennett inequality. Several illustrative examples from rank-based statistics, graph-based statistics, and causal inference are also provided.
title Decoupling and randomization for double-indexed permutation statistics
topic Statistics Theory
Econometrics
Probability
url https://arxiv.org/abs/2601.20018