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Published in 2019 at "Statistics in medicine"
DOI: 10.1002/sim.8176
Abstract: We analyse paediatric ophthalmic data from a large sample of children aged between 3 and 8 years. We use a Bayesian additive conditional bivariate copula regression model with sinh-arcsinh marginal densities with location, scale, and…
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Keywords:
arcsinh marginal;
marginal densities;
sinh arcsinh;
visual acuity ... See more keywords
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Published in 2017 at "International Journal of Fuzzy Systems"
DOI: 10.1007/978-3-662-53692-6_6
Abstract: Empirical copula is a non-parametric algorithm to estimate the dependence structure of high-dimensional arbitrarily distributed data. The computation of empirical copula is, however, very costly so that it cannot be implemented into applications at a…
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Keywords:
empirical copula;
copula;
fuzzy empirical;
dependence structure ... See more keywords
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Published in 2017 at "Statistical Papers"
DOI: 10.1007/s00362-015-0703-1
Abstract: We consider one-parametric families of copulas for which the complement function for independence satisfies an anti-symmetric property. The Spearman rank correlation and Kendall’s tau of an anti-symmetric family of copulas are necessarily odd functions of…
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Keywords:
anti symmetric;
copula;
extension fgm;
fgm copula ... See more keywords
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Published in 2018 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-018-1599-9
Abstract: In order to understand the behavior of the glaciers, their mass balance should be studied. The loss of water produced by melting, known as glacier discharge, is one of the components of this mass balance.…
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Keywords:
glacier discharge;
vine copula;
king george;
discharge ... See more keywords
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Published in 2017 at "Annals of Operations Research"
DOI: 10.1007/s10479-017-2487-2
Abstract: Copulas are one of the most powerful tools in modeling dependence structure of multivariate variables. In Tran et al. (Integrated uncertainty in knowledge modelling and decision making. Springer, Berlin, pp 126–137, 2015), we have constructed…
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Keywords:
dependence;
measure;
structure distorted;
dependence structure ... See more keywords
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Published in 2020 at "Computational Economics"
DOI: 10.1007/s10614-020-09981-5
Abstract: This paper develops a new time-varying mixture copula, in which the dynamic weights of four distinct copulas are determined by a two-stratum process, to investigate the magnitude of tail dependence in four independent quadrants. In…
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Keywords:
tail dependence;
copula;
dependence;
mixture copula ... See more keywords
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Published in 2018 at "Mathematical Geosciences"
DOI: 10.1007/s11004-018-9757-7
Abstract: Copulas provide a convenient way to express multivariate distribution. In this study, pair-copula modelling is applied to a gold deposit in Western Ghana. The dataset for the gold deposit has 1500 surface soil samples on…
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Keywords:
pair;
gold deposit;
spatial pair;
copula ... See more keywords
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Published in 2017 at "Water Resources Management"
DOI: 10.1007/s11269-017-1597-6
Abstract: This study aims to test the appropriateness of multivariate skew-t copula and checkerboard copula of maximum entropy in generating monthly rainfall total data. The generation of synthetic data is important, as it provides hypothetical data…
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Keywords:
multivariate skew;
copula;
maximum entropy;
rainfall total ... See more keywords
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Published in 2020 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-020-5223-1
Abstract: Floods are disastrous events in nature. In order to minimize the loss caused by these inevitable events, there is a need to estimate the risk of their occurrences. Several attempts have been made to study…
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Keywords:
archimedean copula;
analysis;
flood frequency;
copula ... See more keywords
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Published in 2020 at "Economic Modelling"
DOI: 10.1016/j.econmod.2019.09.052
Abstract: Abstract We propose a new copula nonlinear Granger causality test that is more robust than the current available linear and nonlinear Granger causality tests when there exists an asymmetric and nonlinear directional dependence. To perform…
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Keywords:
nonlinear granger;
granger causality;
copula nonlinear;
causality ... See more keywords
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Published in 2021 at "Economic Modelling"
DOI: 10.1016/j.econmod.2021.105671
Abstract: Abstract Energy producers are challenged to contribute to a lower carbon economy and to enhance the decarbonization of this sector two sources highlight: electricity (mainly from renewables) and natural gas. To overcome the gap in…
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Keywords:
copula approach;
energy;
energy transition;
electricity ... See more keywords