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Biblos-e Archivo
Article . 2021
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Mediterranean Journal of Mathematics
Article . 2021 . Peer-reviewed
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Article . 2021
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Construction of Copulas with Hairpin Support

Construction of copulas with hairpin support
Authors: Fernando Chamizo; Juan Fernández-Sánchez; Manuel Úbeda-Flores;

Construction of Copulas with Hairpin Support

Abstract

Consider a nondecreasing homeomorphisms f defined on [0, 1] such that f(x) < x for all x ∈]0, 1[. In this paper, we provide necessary and sufficient conditions for such f to be part of a C-hairpin that concentrates the mass of a bivariate copula. In addition, we study when copulas of this kind come from modular functions. Finally, under certain conditions, we give a multidimensional method that generalizes the bivariate case and allows to construct extreme points in the set of multidimensional copulas

The authors acknowledge the comments of the reviewer. The first author is partially supported by the MTM2017-83496-P grant of the MICINN (Spain) and the “Severo Ochoa Programme for Centres of Excellence in R&D” (SEV2015-0554)

“This is a post-peer-review, pre-copyedit version of an article published in Mediterranean Journal of Mathematics. The final authenticated version is available online at: http://dx.doi.org/10.1007/s00009-021-01803-8”

Country
Spain
Keywords

Matemáticas, Primary 60E05, 1-Lipschitz, Copula, Characterization and structure theory of statistical distributions, hairpin, copula, Probability distributions: general theory, Hairpin, Characterization and structure theory for multivariate probability distributions; copulas, Secondary 62E10

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green