Sampling from hierarchical Kendall copulas

Eike Christian Brechmann

Résumé


As copulas are frequently used to model dependence in statistical models, it is of central importance to be
able to accurately and efficiently sample from them. In the case of hierarchical Kendall copulas, a top-down sampling
strategy involves simulation of a random vector given that it lies in a particular level set. While explicit solutions are
available when hierarchical Kendall copulas are built from Archimedean copulas, this paper presents new results for
the Plackett copula and for Archimax copulas, which also include the class of extreme-value copulas. Additionally, new
approximate sampling procedures for hierarchical Kendall copulas are proposed and evaluated in a simulation study.

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Ce travail est autorisé sous licence avec la Licence de paternité Creative Commons 3.0.

SFdS / SMF - Journal de la Société Française de Statistique - ISSN 2102-6238