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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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https://www.sciencedirect.com/science/article/pii/S0165011426001879
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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
UDC:
519.2
ISSN on article:
0165-0114
DOI:
10.1016/j.fss.2026.109949
COBISS.SI-ID:
278471427
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
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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