Results 51 to 60 of about 119 (106)
New results on perturbation-based copulas
Dependence Modeling, 2021 A prominent example of a perturbation of the bivariate product copula (which characterizes stochastic independence) is the parametric family of Eyraud-Farlie-Gumbel-Morgenstern copulas which allows small dependencies to be modeled.
Saminger-Platz Susanne +4 more
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Dependence Modeling, 2021 As a motivating problem, we aim to study some special aspects of the marginal distributions of the order statistics for exchangeable and (more generally) for minimally stable non-negative random variables T1, ..., Tr. In any case, we assume that T1, ...,
Foschi Rachele +2 more
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Wilks lambda statistic, Independence test, Sphericity test, Generalized Integer Gamma distribution, Generalized Near-Integer Gamma distribution, Mixtures, 62H10, 62E20, 62H05, 62H15,
Carlos Coelho +2 more
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Influence functions for a general class of depth-based generalized quantile functions
, 2006 Given a multivariate probability distribution F, a corresponding depth function orders points according to their “centrality ” in the distribution F. One useful role of depth functions is to generate two-dimensional curves for convenient and practical ...
Jin Wang +3 more
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A sharp inequality for Kendall’s τ and Spearman’s ρ of Extreme-Value Copulas
Dependence Modeling, 2018 We derive a new (lower) inequality between Kendall’s τ and Spearman’s ρ for two-dimensional Extreme-Value Copulas, show that this inequality is sharp in each point and conclude that the comonotonic and the product copula are the only Extreme-Value ...
Trutschnig Wolfgang, Mroz Thomas
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The deFinetti representation of generalised Marshall–Olkin sequences
Dependence Modeling, 2020 We show that each infinite exchangeable sequence τ1, τ2, . . . of random variables of the generalised Marshall–Olkin kind can be uniquely linked to an additive subordinator via its deFinetti representation. This is useful for simulation, model estimation,
Sloot Henrik
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Transformation of a copula using the associated co-copula
Dependence Modeling, 2018 We investigate the properties of a new transformation of copulas based on the co-copula and an univariate function. It is shown that several families in the copula literature can be interpreted as particular outputs of this transformation.
Girard Stéphane
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Extreme values of random or chaotic discretization steps and connected networks
, 2012 Classification AMS : 60E15; 60F99; 62H05. Consultable en ligne sur le site : http://www.m-hikari.com/ams/ams-2012/ams-117-120-2012/index.htmlBy sorting independent random variables and considering the difference between two consecutive order statistics ...
Guegan, Dominique, Garcin, Matthieu
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On quantile based co-risk measures and their estimation
Dependence Modeling, 2020 Conditional Value-at-Risk (CoVaR) is defined as the Value-at-Risk of a certain risk given that the related risk equals a given threshold (CoVaR=) or is smaller/larger than a given threshold ...
Fuchs Sebastian, Trutschnig Wolfgang
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On Complex Matrix-Variate Dirichlet Averages and Its Applications in Various Sub-Domains. [PDF]
Entropy (Basel), 2023 Thankamani P, Sebastian N, Haubold HJ.
europepmc +1 more source