New results on perturbation-based copulas
A prominent example of a perturbation of the bivariate product copula (which characterizes stochastic independence) is the parametric family of Eyraud-Farlie-Gumbel-Morgenstern copulas which allows small dependencies to be modeled. We introduce and discuss several perturbations, some of them perturb...
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De Gruyter
2021
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oai:doaj.org-article:6ade1b4eb22c4c2e88570bfe86f2ea512021-12-05T14:10:46ZNew results on perturbation-based copulas2300-229810.1515/demo-2021-0116https://doaj.org/article/6ade1b4eb22c4c2e88570bfe86f2ea512021-10-01T00:00:00Zhttps://doi.org/10.1515/demo-2021-0116https://doaj.org/toc/2300-2298A prominent example of a perturbation of the bivariate product copula (which characterizes stochastic independence) is the parametric family of Eyraud-Farlie-Gumbel-Morgenstern copulas which allows small dependencies to be modeled. We introduce and discuss several perturbations, some of them perturbing the product copula, while others perturb general copulas. A particularly interesting case is the perturbation of the product based on two functions in one variable where we highlight several special phenomena, e.g., extremal perturbed copulas. The constructions of the perturbations in this paper include three different types of ordinal sums as well as flippings and the survival copula. Some particular relationships to the Markov product and several dependence parameters for the perturbed copulas considered here are also given.Saminger-Platz SusanneKolesárová AnnaŠeliga AdamMesiar RadkoKlement Erich PeterDe Gruyterarticlecopuladependence parametereyraud-farlie-gumbel-morgenstern copulaordinal sumperturbation60e0562h0562h20Science (General)Q1-390MathematicsQA1-939ENDependence Modeling, Vol 9, Iss 1, Pp 347-373 (2021) |
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copula dependence parameter eyraud-farlie-gumbel-morgenstern copula ordinal sum perturbation 60e05 62h05 62h20 Science (General) Q1-390 Mathematics QA1-939 |
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copula dependence parameter eyraud-farlie-gumbel-morgenstern copula ordinal sum perturbation 60e05 62h05 62h20 Science (General) Q1-390 Mathematics QA1-939 Saminger-Platz Susanne Kolesárová Anna Šeliga Adam Mesiar Radko Klement Erich Peter New results on perturbation-based copulas |
description |
A prominent example of a perturbation of the bivariate product copula (which characterizes stochastic independence) is the parametric family of Eyraud-Farlie-Gumbel-Morgenstern copulas which allows small dependencies to be modeled. We introduce and discuss several perturbations, some of them perturbing the product copula, while others perturb general copulas. A particularly interesting case is the perturbation of the product based on two functions in one variable where we highlight several special phenomena, e.g., extremal perturbed copulas. The constructions of the perturbations in this paper include three different types of ordinal sums as well as flippings and the survival copula. Some particular relationships to the Markov product and several dependence parameters for the perturbed copulas considered here are also given. |
format |
article |
author |
Saminger-Platz Susanne Kolesárová Anna Šeliga Adam Mesiar Radko Klement Erich Peter |
author_facet |
Saminger-Platz Susanne Kolesárová Anna Šeliga Adam Mesiar Radko Klement Erich Peter |
author_sort |
Saminger-Platz Susanne |
title |
New results on perturbation-based copulas |
title_short |
New results on perturbation-based copulas |
title_full |
New results on perturbation-based copulas |
title_fullStr |
New results on perturbation-based copulas |
title_full_unstemmed |
New results on perturbation-based copulas |
title_sort |
new results on perturbation-based copulas |
publisher |
De Gruyter |
publishDate |
2021 |
url |
https://doaj.org/article/6ade1b4eb22c4c2e88570bfe86f2ea51 |
work_keys_str_mv |
AT samingerplatzsusanne newresultsonperturbationbasedcopulas AT kolesarovaanna newresultsonperturbationbasedcopulas AT seligaadam newresultsonperturbationbasedcopulas AT mesiarradko newresultsonperturbationbasedcopulas AT klementerichpeter newresultsonperturbationbasedcopulas |
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1718371727540486144 |