Hoeffding and Bernstein inequalities for U-statistics without replacement
Jianhang Ai,
Ondřej Kuželka and
Yuyi Wang
Statistics & Probability Letters, 2022, vol. 187, issue C
Abstract:
Concentration inequalities quantify random fluctuations of functions of random variables, typically by bounding the probability that such a function differs from its expected value by more than a certain amount. In this paper, we extend Hoeffding’s inequality and Bernstein’s inequality for U-statistics to the setting of sampling without replacement from a finite population.
Keywords: Concentration inequalities; U-statistics; Sample without replacement; Hoeffding inequality; Bernstein inequality (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715222000992
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:187:y:2022:i:c:s0167715222000992
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spl.2022.109528
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().