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Abstract

The Farlie-Gumbel-Morgenstern copulas are related to the independence copula \(\varPi \) and can be seen as perturbations of \(\varPi \). Based on quadratic constructions of copulas, we provide a new look at them. Starting from any 2-dimensional copula and an appropriate real function, we introduce new parametric families of copulas which in the case of the independence copula \(\varPi \) coincide with the Farlie-Gumbel-Morgenstern family. Using the proposed approach, we also obtain as a particular case a subclass of the Fréchet family of copulas containing all three basic copulas \(W, \varPi \) and M, i.e. a comprehensive family of copulas. Finally, based on an iterative approach, we introduce copula families \(\left( C_r\right) _{r\in [-\infty ,\infty ]}\) complete w.r.t. dependence parameters, resulting in the case of the independence copula and parameters \(r\in [-1,1]\) in the Farlie-Gumbel-Morgenstern family.

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Acknowledgments

The first two authors kindly acknowledge the support of the project of Science and Technology Assistance Agency under the contract No. APVV–14–0013. The work of A. Kolesárová was also supported by the grant VEGA 1/0891/17. The second and third author also acknowledge the support of the “Technologie-Transfer-Förderung" of the Upper Austrian Government (Wi-2014-200710/13-Kx/Kai).

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Correspondence to Radko Mesiar .

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Kolesárová, A., Mesiar, R., Saminger-Platz, S. (2018). Generalized Farlie-Gumbel-Morgenstern Copulas. In: Medina, J., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018. Communications in Computer and Information Science, vol 853. Springer, Cham. https://doi.org/10.1007/978-3-319-91473-2_21

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  • DOI: https://doi.org/10.1007/978-3-319-91473-2_21

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