Abstract : In this paper, we propose simple estimation methods dedicated to a semiparametric family of bivariate copulas. These copulas can be simply estimated through the estimation of their univariate generating function. We take profit of this result to estimate the associated measures of association as well as the high probability regions of the copula. These procedures are illustrated on simulations and on real data.
Type de document :
Article dans une revue
Journal of Computational and Graphical Statistics, Taylor & Francis, 2005, 14 (2), pp.1-15. 〈10.1198/106186005X48722〉
https://hal.inria.fr/hal-00724711
Contributeur : Stephane Girard
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Soumis le : mardi 13 mai 2014 - 16:00:52
Dernière modification le : jeudi 7 juin 2018 - 23:54:01
Document(s) archivé(s) le : lundi 10 avril 2017 - 22:34:52
Cécile Amblard, Stéphane Girard. Estimation procedures for a semiparametric family of bivariate copulas. Journal of Computational and Graphical Statistics, Taylor & Francis, 2005, 14 (2), pp.1-15. 〈10.1198/106186005X48722〉. 〈hal-00724711v2〉
