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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References
Amblard, C., Girard, S.: Symmetry and dependence properties within a semiparametric family of bivariate copulas. J. Nonparametric Stat. 14, 715–727 (2002). arXiv:1103.5953
Bekrizadeh, H., Parham, A.G., Zadkarmi, R.M.: The new generalization of Farlie-Gumbel-Morgenstern copulas. Appl. Math. Sci. 6, 3527–3533 (2012)
Cuadras, C.M., Díaz, W.: Another generalizations of the bivariate FGM distribution with two-dimensional extensions. Acta et Commentationes Univ. Tartuensis de Math. 16(1), 3–12 (2012)
De Baets, B., De Meyer, H.: Orthogonal grid constructions of copulas. IEEE Trans. Fuzzy Syst. 15, 1053–1062 (2007). https://doi.org/10.1109/TFUZZ.2006.890681
Dolati, A., Úbeda-Flores, M.: Constructing copulas by means of pairs of order statistics. Kybernetika 45, 992–1002 (2009)
Durante, F., Saminger-Platz, S., Sarkoci, P.: On patchwork techniques for 2-increasing aggregation functions and copulas. In: Dubois, D., Lubiano, M.A., Prade, H., Gil, M.Á., Grzegorzewski, P., Hryniewicz, O. (eds.) Soft Methods for Handling Variability and Imprecision. Advances in Soft Computing, vol. 48, pp. 349–356. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-85027-4_42
Durante, F., Saminger-Platz, S., Sarkoci, P.: Rectangular patchwork for bivariate copulas and tail dependence. Commun. Stat. Theory Methods 38, 2515–2527 (2009). https://doi.org/10.1080/03610920802571203
Durante, F., Rodríguez-Lallena, J.A., Úbeda-Flores, M.: New constructions of diagonal patchwork copulas. Inf. Sci. 179, 3383–3391 (2009). https://doi.org/10.1016/j.ins.2009.06.007
Huang, J.S., Kotz, S.: Modifications of the Farlie-Gumbel-Morgenstern distributions. A tough hill to climb. Metrika 49, 135–145 (1999). https://doi.org/10.1007/s001840050030
Joe, H.: Multivariate Model and Dependence Concept. Monographs on Statistics and Applied Probability, vol. 73. Chapman and Hall, London (1997)
Kolesárová, A., Mayor, G., Mesiar, R.: Quadratic constructions of copulas. Inf. Sci. 310, 69–76 (2015). https://doi.org/10.1016/j.ins.2015.03.016
Komorník, J., Komorníková, M., Kalická, J.: Families of perturbation copulas generalizing the FGM family and their relations to dependence measures. In: Torra, V., Mesiar, R., De Baets, B. (eds.) AGOP 2017. AISC, vol. 581, pp. 53–63. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-59306-7_6
Komorník, J., Komorníková, M., Kalická, J.: Dependence measures for perturbations of copulas. Fuzzy Sets Syst. 324, 100–116 (2017). https://doi.org/10.1016/j.fss.2017.01.014
Mesiar, R., Jágr, V., Juráňová, M., Komorníková, M.: Univariate conditioning of copulas. Kybernetika 44, 807–816 (2008)
Mesiar, R., Najjari, V.: New families of symmetric/asymmetric copulas. Fuzzy Sets Syst. 252, 99–110 (2014). https://doi.org/10.1016/j.fss.2013.12.015
Mesiar, R., Sempi, C.: Ordinal sums and idempotents of copulas. Aequationes Math. 79, 39–52 (2010). https://doi.org/10.1007/s00010-010-0013-6
Mesiar, R., Szolgay, J.: W-ordinal sums of copulas and quasi-copulas. In: Magia 2004, Conference, Kočovce, pp. 78–83 (2004)
Morillas, P.M.: A method to obtain new copulas from a given one. Metrika 61, 169–184 (2005). https://doi.org/10.1007/s001840400330
Nelsen, R.B.: An Introduction to Copulas, 2nd edn. Springer, New York (2006). https://doi.org/10.1007/0-387-28678-0
Nelsen, R.B., Quesada-Molina, J.J., Rodríguez-Lallena, J.A., Úbeda-Flores, M.: On the construction of copulas and quasi-copulas with given diagonal sections. Insur. Math. Econ. 42, 473–483 (2008). https://doi.org/10.1016/j.insmatheco.2006.11.011
Rodríguez-Lallena, J.A., Úbeda-Flores, M.: A new class of bivariate copulas. Stat. Probab. Lett. 66, 315–325 (2004). https://doi.org/10.1016/j.spl.2003.09.010
Siburg, K.F., Stoimenov, P.A.: Gluing copulas. Commun. Stat. Theory Methods 37, 3124–3134 (2008). https://doi.org/10.1080/03610920802074844
Sklar, A.: Fonctions de répartition à \(n\) dimensions et leurs marges. Publ. Inst. Stat. Univ. Paris 8, 229–231 (1959)
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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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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