Results 21 to 30 of about 385 (163)
Dependence Modeling, 2018 Williamson’s integral representation of n-monotone functions on the half-line is generalized to several dimensions. This leads to a characterization of multivariate survival functions with multiply ℓ1- symmetry.
Ressel Paul
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Local Dependence for Bivariate Weibull Distributions Created by Archimedean Copula
مجلة بغداد للعلوم, 2021 In multivariate survival analysis, estimating the multivariate distribution functions and then measuring the association between survival times are of great interest.
Swar O. Ahmed +2 more
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ARCHIMEDEAN COPULAS AND TEMPORAL DEPENDENCE [PDF]
Econometric Theory, 2012 We study the dependence properties of stationary Markov chains generated by Archimedean copulas. Under some simple regularity conditions, we show that regular variation of the Archimedean generator at zero and one implies geometric ergodicity of the associated Markov chain.
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Archimedean copulae and positive dependence [PDF]
Journal of Multivariate Analysis, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
MUELLER A, SCARSINI, MARCO
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Stats, 2023 It is evident that several real-life applications, such as telecommunication systems, call for the establishment of consecutive-type networks. Moreover, some of them require more complex connectors than the ones that exist already in the literature ...
Ioannis S. Triantafyllou
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New Families of Bivariate Copulas via Unit Lomax Distortion
Risks, 2020 This article studies a new family of bivariate copulas constructed using the unit-Lomax distortion derived from a transformation of the non-negative Lomax random variable into a variable whose support is the unit interval.
Fadal Abdullah-A Aldhufairi +2 more
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Theoretical Study of Some Angle Parameter Trigonometric Copulas
Modelling, 2022 Copulas are important probabilistic tools to model and interpret the correlations of measures involved in real or experimental phenomena. The versatility of these phenomena implies the need for diverse copulas.
Christophe Chesneau
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On an asymmetric extension of multivariate Archimedean copulas based on quadratic form
Dependence Modeling, 2016 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.
Di Bernardino Elena, Rullière Didier
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Residual Probability Function for Dependent Lifetimes
Mathematics, 2021 In this paper, the residual probability function is applied to analyze the survival probability of two used components relative to each other in the case when their lifetimes are dependent. The expression of the function by copulas has been derived along
Mhamed Mesfioui, Mohamed Kayid
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, 2020 A central problem in machine learning and statistics is to model joint densities of random variables from data. Copulas are joint cumulative distribution functions with uniform marginal distributions and are used to capture interdependencies in isolation from marginals.
Ling, Chun Kai +2 more
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