On a New Class of Trivariate Copulas
Authors
C. Ignazzi, F. Durante
Corresponding Author
C. Ignazzi
Available Online 30 August 2021.
- DOI
- 10.2991/asum.k.210827.088How to use a DOI?
- Keywords
- Copula, Extremal Dependence, Fréchet class, Eyraud-Farlie-Gumbel-Morgenstern distribution
- Abstract
Starting with three bivariate copulas and some auxiliary univariate functions, we determine a construction method of trivariate copulas, which generalizes a class of copulas previously introduced by M. Úbeda-Flores (2005). Specifically, we provide a characterization of this class of 3–copulas and we discuss some of its properties. Various related examples of parametric and semiparametric families can be obtained, including generalizations of EFGM copulas.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - C. Ignazzi AU - F. Durante PY - 2021 DA - 2021/08/30 TI - On a New Class of Trivariate Copulas BT - Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP) PB - Atlantis Press SP - 654 EP - 660 SN - 2589-6644 UR - https://doi.org/10.2991/asum.k.210827.088 DO - 10.2991/asum.k.210827.088 ID - Ignazzi2021 ER -