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20092026
most citedMultivariate Archimedean copulas, -monotone functions and -norm symmetric distributions

502 citations · 517 across the 9 of their papers we have counts for

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5 papers · 1 filter

math.ST2026

Stochastic Inversion of Multivariate Uniform-Distribution-Preserving Transformations

Alexander J. McNeil, Johanna G. Nešlehová

A multivariate transformation of the unit cube with component transformations that are piecewise continuously differentiable and uniform distribution preserving (udp) is considered…

math.ST2020

On attainability of Kendall's tau matrices and concordance signatures

Alexander J. McNeil, Johanna G. Neslehova, Andrew D. Smith

Methods are developed for checking and completing systems of bivariate and multivariate Kendall's tau concordance measures in applications where only partial information about depe…

math.ST2014★ 1 cited

On the Computation of Multivariate Scenario Sets for the Skew-t and Generalized Hyperbolic Families

Emanuele Giorgi, Alexander J. McNeil

We examine the problem of computing multivariate scenarios sets for skewed distributions. Our interest is motivated by the potential use of such sets in the "stress testing" of ins…

math.ST2011★ 3 cited

Likelihood inference for Archimedean copulas

Marius Hofert, Martin Mächler, Alexander J. McNeil

Explicit functional forms for the generator derivatives of well-known one-parameter Archimedean copulas are derived. These derivatives are essential for likelihood inference as the…

math.ST2009★ 502 cited

Multivariate Archimedean copulas, -monotone functions and -norm symmetric distributions

Alexander J. McNeil, Johanna Nešlehová

It is shown that a necessary and sufficient condition for an Archimedean copula generator to generate a -dimensional copula is that the generator is a -monotone function. The…