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Article (Scientific journals)
Quantitative CLTs for symmetric U-statistics using contractions
Döbler, Christian; PECCATI, Giovanni
2019 • In Electronic Journal of Probability, 24
Peer Reviewed verified by ORBi
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https://hdl.handle.net/10993/40100
DOI
10.1214/19-EJP264
 

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Disciplines :
Mathematics
Author, co-author :
Döbler, Christian ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Mathematics Research Unit
PECCATI, Giovanni ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Mathematics Research Unit
External co-authors :
no
Language :
English
Title :
Quantitative CLTs for symmetric U-statistics using contractions
Publication date :
2019
Journal title :
Electronic Journal of Probability
eISSN :
1083-6489
Publisher :
Institute of Mathematical Statistics, Beachwood, United States - Ohio
Volume :
24
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 13 August 2019

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