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A complete characterization of maximal copulas with given track section
ID Omladič, Matjaž (Author), ID Škulj, Damjan (Author)

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Abstract
Bivariate copulas with prescribed diagonal section were first studied by Bertino. Their maximality was studied so far only from the point of view of upper bounds which brings quasi-copulas into the picture and limits the resulting set substantially. We propose to study maximality of these families in the order theoretic sense. A copula $C$ with given diagonal section $\delta$ is called undominated if there is no copula $C' \ne C$ with the same diagonal section $\delta$ such that $C \le C'$. The main contribution of this paper is a new method that provides undominated copulas. They form a much wider class that contains the known upper bounds as a very small subclass. There was a recent call for the study of asymmetry which is addressed by our class better than by the known ones. Corresponding quasi-copulas can be obtained from our copulas via splicing techniques. Most results are given on the level of tracks.

Language:English
Keywords:bivariate copulas, quasi-copulas, diagonal section, track section, undominated copulas
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FDV - Faculty of Social Sciences
FMF - Faculty of Mathematics and Physics
Publication status:Published
Publication version:Version of Record
Year:2026
Number of pages:15 str.
Numbering:Vol. 541, art. 109949
PID:20.500.12556/RUL-182583 This link opens in a new window
UDC:519.2
ISSN on article:0165-0114
DOI:10.1016/j.fss.2026.109949 This link opens in a new window
COBISS.SI-ID:278471427 This link opens in a new window
Publication date in RUL:18.05.2026
Views:236
Downloads:218
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Record is a part of a journal

Title:Fuzzy sets and systems
Shortened title:Fuzzy sets syst.
Publisher:Elsevier
ISSN:0165-0114
COBISS.SI-ID:25498624 This link opens in a new window

Licences

License:CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:http://creativecommons.org/licenses/by-nc/4.0/
Description:A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.

Secondary language

Language:Slovenian
Keywords:matematika, verjetnosti

Projects

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0448
Name:Stohastične metode in njihova uporaba

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P5-0168
Name:Družboslovna metodologija, statistika in informatika

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