Results 111 to 120 of about 18,813 (205)
Performance Analysis of RIS-Assisted Communication With Direct Link: A New Copula Application
Reconfigurable intelligent surface (RIS) has received remarkable attention as a promising solution to enhance the capacity and coverage of wireless cellular networks. In this paper, we evaluate the performance of RIS-assisted communication systems in the
Damoon Shahbaztabar +3 more
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Penalized estimation of hierarchical Archimedean copula
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Ostap Okhrin, Alexander Ristig
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MODELLING RANDOM COUPLES USING COPULAS MODELADO DE PAREJAS ALEATORIAS USANDO CÓPULAS
Copulas have become a useful tool for the multivariate modelling in both stochastics and statistics. In this article, fundamental properties that allow the characterization of the dependence structure of families of the bivariate distributions defined by
Escarela Gabriel, Hernández Angélica
doaj
Interval-conditioned quantiles of bivariate copulas
We study conditional distributions and their quantiles when a continuous covariate is conditioned on an interval event, without discretizing the covariate itself, focusing on bivariate copulas.
Molendijk Thomas, Şahin Özge
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Inference for overparametrized hierarchical Archimedean copulas
Hierarchical Archimedean copulas (HACs) are multivariate uniform distributions constructed by nesting Archimedean copulas into one another, and provide a flexible approach to modeling non-exchangeable data. However, this flexibility in the model structure may lead to over-fitting when the model estimation procedure is not performed properly.
Samuel Perreault +3 more
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Modelado de parejas aleatorias usando cópulas Modelling Random Couples Using Copulas
Las cópulas se han convertido en una herramienta útil para el modelado multivariado tanto estocástico como estadístico. En este artículo se revisan propiedades fundamentales de las cópulas que permitan caracterizar la estructura de dependencia de ...
GABRIEL ESCARELA, ANGÉLICA HERNÁNDEZ
doaj
Dependence properties of bivariate copula families
Motivated by recently investigated results on dependence measures and robust risk models, this article provides an overview of dependence properties of many well known bivariate copula families, where the focus is on the Schur order for conditional ...
Ansari Jonathan, Rockel Marcus
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Copulas for statistical signal processing (Part I) : extensions and generalization [PDF]
Existing works on multivariate distributions mainly focus on limited distribution functions and require that the associated marginal distributions belong to the same family. Although this simplifies problems, it may fail to deal with practical cases when
Wang, Zheng +4 more
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Hierarchical Archimedean Copulae
This paper aims at explanation of the R-package HAC, which provides user friendly methods for dealing with high-dimensional hierarchical Archimedean copulae (HAC). A computationally eficient estimation procedure allows to recover the structure and the parameters of HACs from data.
Okhrin, Ostap, Ristig, Alexander
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Modeling defaults with nested Archimedean copulas
In 2001, Schönbucher and Schubert extended Li's well-known Gaussian copula model for modeling dependent defaults to allow for tail dependence. Instead of the Gaussian copula, Schönbucher and Schubert suggested to use Archimedean copulas.
Marius Hofert, Hofert, Marius
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