Results 21 to 30 of about 70 (69)
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Measure-Preserving Functions and the Independence Copula

Mediterranean Journal of Mathematics, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
de Amo, Enrique   +2 more
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Copulas and Self-affine Functions

2013
We characterize self-affine functions whose graphs are the support of a copula using the fact that the functions defined on the unit interval whose graphs support a copula are those that are Lebesgue-measure-preserving. This result allows the computation of the Hausdorff, packing, and box-counting dimensions.
Enrique de Amo   +2 more
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Kendall distribution functions and associative copulas

Fuzzy Sets and Systems, 2009
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Roger B. Nelsen   +3 more
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Copula Functions and Drought

2017
Copula functions are a group of multivariate distribution functions that join the marginal distribution of multiple variables. They have been used in different fields of science and engineering during the past decades. The main advantage of copulas over other multivariate distribution functions is their flexible structure in choosing marginal ...
Shahrbanou Madadgar, Hamid Moradkhani
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On a new construction of 1-Lipschitz aggregation functions, quasi-copulas and copulas

Fuzzy Sets and Systems, 2013
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Anna Kolesárová   +2 more
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The copula function of pronouns

Lingua, 1983
Abstract This paper presents evidence from Egyptian Arabic to show that in the absence of a copula from a language, the language may use pronouns to perform copula functions. The evidence is based on the behavior of pronouns with respect to Negative Placement and their use in equational sentences.
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Binary copulas as aggregation functions

2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI), 2014
We present binary copulas or 2-copulas (copulas, shortly) as important aggregation function. Since generally copulas are non-associative operation we restrict on binary case, which is mostly used in the practice. After giving some introductory part on general aggregation functions we restrict on specific properties of copulas.
Endre Pap, Aniko Szakal
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d-Dimensional dependence functions and Archimax copulas

Fuzzy Sets and Systems, 2013
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Radko Mesiar, Vladimír Jágr
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Copula Functions in Model Based Clustering

2006
Model based clustering is common approach used in cluster analysis. Here each cluster is characterized by some kind of model, for example — multivariate distribution, regression, principal component etc. One of the most well known approaches in model based clustering is the one proposed by Banfield and Raftery (1993), where each class is described by ...
Krzysztof Jajuga, Daniel Papla
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On tail dependence for Grubbs’ copula-function

Russian Mathematics, 2015
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openaire   +2 more sources

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