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Goodness-of-Fit Tests For Elliptical and Independent Copulas through Projection Pursuit
Algorithms, 2011 Two goodness-of-fit tests for copulas are being investigated. The first one deals with the case of elliptical copulas and the second one deals with independent copulas.
Jacques Touboul
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A continuous rainfall model based on vine copulas [PDF]
Hydrology and Earth System Sciences, 2015 Copulas have already proven their flexibility in rainfall modelling. Yet, their use is generally restricted to the description of bivariate dependence.
H. Vernieuwe +3 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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, 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
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Characterizations of bivariate conic, extreme value, and Archimax copulas
Dependence Modeling, 2017 Based on a general construction method by means of bivariate ultramodular copulas we construct, for particular settings, special bivariate conic, extreme value, and Archimax copulas. We also show that the sets of copulas obtained in this way are dense in
Saminger-Platz Susanne +3 more
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Copulas in Classical Probability Sense
مجلة بغداد للعلوم, 2020 Copulas are simply equivalent structures to joint distribution functions. Then, we propose modified structures that depend on classical probability space and concepts with respect to copulas.
Ahmed AL-Adilee +2 more
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Extensions of Two Bivariate Strict Archimedean Copulas
Computational Journal of Mathematical and Statistical Sciences, 2023 The copula approach provides an option for capturing the structure of dependence between two quantitative variables. This approach is based on special bivariate functions called copulas.
Christophe Chesneau
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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
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Intermediate Tail Dependence: A Review and Some New Results [PDF]
, 2012 The concept of intermediate tail dependence is useful if one wants to quantify the degree of positive dependence in the tails when there is no strong evidence of presence of the usual tail dependence. We first review existing studies on intermediate tail
A. Charpentier +35 more
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Factor copula models for item response data [PDF]
, 2015 Factor or conditional independence models based on copulas are proposed for multivariate discrete data such as item responses. The factor copula models have interpretations of latent maxima/minima (in comparison with latent means) and can lead to more ...
A. Maydeu-Olivares +29 more
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