Results 11 to 20 of about 12,179 (202)
Multivariate copulas, quasi-copulas and lattices [PDF]
We investigate some properties of the partially ordered sets of multivariate copulas and quasi-copulas. Whereas the set of bivariate quasi-copulas is a complete lattice, which is order-isomorphic to the Dedekind-MacNeille completion of the set of bivariate copulas, we show that this is not the case in higher dimensions.
Fernández-Sánchez, Juan +2 more
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Copulas are used to specify dependence between two or more random variables. The last few years have seen a surge of developments of parametric models for copulas.
Saralees Nadarajah +2 more
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Freedom in constructing quasi-copulas vs. copulas [PDF]
26 pages, 5 figures, accepted in Fuzzy Sets and ...
Matjaz Omladic, Nik Stopar
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Is a Normal Copula the Right Copula? [PDF]
We derive computationally simple and intuitive expressions for score tests of Gaussian copulas against Generalized Hyperbolic alternatives, including symmetric and asymmetric Student t, and many other examples. We decompose our tests into third and fourth moment components, and obtain one-sided Likelihood Ratio analogues, whose standard asymptotic ...
Amengual, Dante, Sentana, Enrique
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23 pages, 3 ...
Marius Hofert, Frédéric Vrins
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The t Copula and Related Copulas
Summary: The \(t\) copula and its properties are described with a focus on issues related to the dependence of extreme values. The Gaussian mixture representation of a multivariate \(t\) distribution is used as a starting point to construct two new copulas, the skewed \(t\) copula and the grouped \(t\) copula, which allow more heterogeneity in the ...
Demarta, Stefano, Mcneil, Alexander J.
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A Functional for Copulas and Quasi-Copulas [PDF]
We recall and study some properties of a known functional operating on the set of n-copulas and determine conditions under such functional is well defined on the set of n-quasi-copulas. As a consequence, new families of copulas and quasi-copulas are defined, illustrating our results with several examples.
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Construction of asymmetric copulas and its application in two-dimensional reliability modelling [PDF]
Copulas offer a useful tool in modelling the dependence among random variables. In the literature, most of the existing copulas are symmetric while data collected from the real world may exhibit asymmetric nature.
Wu, Shaomin
core +1 more source
Copulas for statistical signal processing (Part I) : extensions and generalization [PDF]
Existing works on multivariate distributions mainly focus on limited distribution functions and require that the associated marginal distributions belong to the same family. Although this simplifies problems, it may fail to deal with practical cases when
Wang, Zheng +4 more
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General Multivariate Dependence using Associated Copulas
This paper studies the general multivariate dependence and tail dependence of a random vector. We analyse the dependence of variables going up or down, covering the 2 d orthants of dimension d and accounting for non-positive dependence.
Yuri Salazar Flores
doaj +1 more source

