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  An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions

Tosatto, S., Akrour, R., & Peters, J. (2021). An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions. Stats: open access journal of statistical sciences, 4(1), 1-17. doi:10.3390/stats4010001.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-DF66-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-DF67-3
Genre: Journal Article

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Locator:
https://doi.org/10.3390/stats4010001 (Publisher version)
Description:
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OA-Status:
Gold
Locator:
https://doi.org/10.48550/arXiv.2001.10972 (Preprint)
Description:
-
OA-Status:
Green

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 Creators:
Tosatto, Samuele 1, Author
Akrour, Riad1, Author
Peters, Jan1, 2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2020-12-302021-03
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3390/stats4010001
arXiv: 2001.10972
BibTex Citekey: TosAkrPet21
 Degree: -

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Title: Stats : open access journal of statistical sciences
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Basel : MDPI
Pages: - Volume / Issue: 4 (1) Sequence Number: - Start / End Page: 1 - 17 Identifier: ISSN: 2571-905X
CoNE: https://pure.mpg.de/cone/journals/resource/2571-905X