Résumé
Although there exists a large variety of copula functions, only a few are practically manageable, and often the choice in dependence modeling falls on the Gaussian copula. Furthermore most copulas are exchangeable, thus implying symmetric dependence. We introduce a way to construct copulas based on periodic functions. We study the two-dimensional case based on one dependence parameter and then provide a way to extend the construction to the n-dimensional framework. We can thus construct families of copulas in dimension n and parameterized by n - 1 parameters, implying possibly asymmetric relations. Such "periodic" copulas can be simulated easily.
| langue originale | Anglais |
|---|---|
| Pages (de - à) | 1437-1447 |
| Nombre de pages | 11 |
| journal | Communications in Statistics - Theory and Methods |
| Volume | 34 |
| Numéro de publication | 7 |
| Les DOIs | |
| état | Publié - 15 août 2005 |
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