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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Exponential inequality for chaos based on sampling without replacement

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Author(s):
Hodara, P. [1] ; Reynaud-Bouret, P.
Total Authors: 2
Affiliation:
[1] INRA Jouy En Josas, Jouy En Josas - France
Total Affiliations: 1
Document type: Journal article
Source: Statistics & Probability Letters; v. 146, p. 65-69, MAR 2019.
Web of Science Citations: 0
Abstract

We are interested in the behavior of particular functionals, in a framework where the only source of randomness is a sampling without replacement. More precisely the aim of this short note is to prove an exponential concentration inequality for special U-statistics of order 2, that can be seen as chaos. (C) 2018 Published by Elsevier B.V. (AU)

FAPESP's process: 16/17655-8 - Modeling and estimation of neural networks
Grantee:Pierre Hodara
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat
Grantee:Oswaldo Baffa Filho
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC