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On certain transformations of Archimedean copulas: Application to the non-parametric estimation of their generators

Elena Di BernardinoDidier Rullière — 2013

Dependence Modeling

We study the impact of certain transformations within the class of Archimedean copulas. We give some admissibility conditions for these transformations, and define some equivalence classes for both transformations and generators of Archimedean copulas. We extend the r-fold composition of the diagonal section of a copula, from r ∈ N to r ∈ R. This extension, coupled with results on equivalence classes, gives us new expressions of transformations and generators. Estimators deriving directly from these...

On an asymmetric extension of multivariate Archimedean copulas based on quadratic form

Elena Di BernardinoDidier Rullière — 2016

Dependence Modeling

An important topic in Quantitative Risk Management concerns the modeling of dependence among risk sources and in this regard Archimedean copulas appear to be very useful. However, they exhibit symmetry, which is not always consistent with patterns observed in real world data. We investigate extensions of the Archimedean copula family that make it possible to deal with asymmetry. Our extension is based on the observation that when applied to the copula the inverse function of the generator of an...

Plug-in estimation of level sets in a non-compact setting with applications in multivariate risk theory

Elena Di BernardinoThomas LaloëVéronique Maume-DeschampsClémentine Prieur — 2013

ESAIM: Probability and Statistics

This paper deals with the problem of estimating the level sets () =  {() ≥ }, with  ∈ (0,1), of an unknown distribution function on ℝ . A plug-in approach is followed. That is, given a consistent estimator of , we estimate () by () =  { () ≥ }. In our setting, non-compactness property is required for the level sets to estimate. We state consistency results with respect to the Hausdorff distance and the volume of the symmetric difference....

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