Results 31 to 40 of about 4,162 (190)
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
doaj +1 more source
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
doaj +1 more source
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.
openaire +3 more sources
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
doaj +1 more source
copulaedas: An R Package for Estimation of Distribution Algorithms Based on Copulas [PDF]
, 2014 The use of copula-based models in EDAs (estimation of distribution algorithms) is currently an active area of research. In this context, the copulaedas package for R provides a platform where EDAs based on copulas can be implemented and studied.
Gonzalez-Fernandez, Yasser, Soto, Marta
core +4 more sources
Distortion risk measures for sums of dependent losses [PDF]
, 2010 We discuss two distinct approaches, for distorting risk measures of sums of dependent random variables, which preserve the property of coherence. The first, based on distorted expectations, operates on the survival function of the sum.
Brahimi, Brahim +2 more
core +3 more sources
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
doaj +1 more source
, 2009 Being the limits of copulas of componentwise maxima in independent random samples, extreme-value copulas can be considered to provide appropriate models for the dependence structure between rare events.
Gudendorf, Gordon, Segers, Johan
core +1 more source
From Archimedean to Liouville copulas
Journal of Multivariate Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alexander J. McNeil, Johanna Neslehová
openaire +2 more sources
Time Varying Hierarchical Archimedean Copulae [PDF]
SSRN Electronic Journal, 2010 There is increasing demand for models of time-varying and non-Gaussian dependencies for multivariate time-series. Available models suffer from the curse of dimensionality or restrictive assumptions on the parameters and the distribution. A promising class of models are the hierarchical Archimedean copulae (HAC) that allow for non-exchangeable and non ...
Wolfgang Karl Härdle +2 more
openaire +2 more sources