Results 11 to 20 of about 11,925 (292)
Copulas for statistical signal processing (Part I) : extensions and generalization [PDF]
, 2014 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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The t Copula and Related Copulas
International Statistical Review, 2007 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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Polynomial bivariate copulas of degree five: characterization and some particular inequalities
Dependence Modeling, 2021 Bivariate polynomial copulas of degree 5 (containing the family of Eyraud-Farlie-Gumbel-Morgenstern copulas) are in a one-to-one correspondence to certain real parameter triplets (a, b, c), i.e., to some set of polynomials in two variables of degree 1: p(
Šeliga Adam +5 more
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Testing the bivariate distribution of daily equity returns using copulas: an application to the Spanish stock market [PDF]
, 2005 In this paper we deal with the identification of dependencies between time series of equity returns. Marginal distribution functions are assumed to be known, and a bivariate chi-square test of fit is applied in a fully parametric copula approach. Several
Roch, Oriol, Alegre Escolano, Antonio
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New asymmetric perturbations of FGM bivariate copulas and concordance preserving problems
Moroccan Journal of Pure and Applied Analysis, 2023 New copulas, based on perturbation theory, are introduced to clarify a symmetrization procedure for asymmetric copulas. We give also some properties of the symmetrized copula mainly conservation of concordance.
El maazouz Mohamed, Sani Ahmed
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A Functional for Copulas and Quasi-Copulas [PDF]
ISRN Probability and Statistics, 2012 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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A Note on Upper Tail Behavior of Liouville Copulas
Risks, 2016 The family of Liouville copulas is defined as the survival copulas of multivariate Liouville distributions, and it covers the Archimedean copulas constructed by Williamson’s d-transform.
Lei Hua
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Baire category results for quasi–copulas
Dependence Modeling, 2016 The aim of this manuscript is to determine the relative size of several functions (copulas, quasi– copulas) that are commonly used in stochastic modeling.
Durante Fabrizio +2 more
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General Multivariate Dependence using Associated Copulas
Revstat Statistical Journal, 2016 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
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Construction of asymmetric copulas and its application in two-dimensional reliability modelling [PDF]
, 2014 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
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