How to improve the fit of Archimedean copulas by means of transforms
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DOI: 10.1007/s00362-010-0341-6
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References listed on IDEAS
- MICHIELS, Frederik & DE SCHEPPER, Ann, 2007. "A copula test space model: How to avoid the wrong copula choice," Working Papers 2007027, University of Antwerp, Faculty of Business and Economics.
- MICHIELS, Frederik & DE SCHEPPER, Ann, 2009. "Understanding copula transforms: A review of dependence properties," Working Papers 2009012, University of Antwerp, Faculty of Business and Economics.
- Giovanni De Luca & Giorgia Rivieccio, 2009. "Archimedean copulae for risk measurement," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(8), pages 907-924.
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Cited by:
- Di Bernardino Elena & Rullière Didier, 2013.
"On certain transformations of Archimedean copulas: Application to the non-parametric estimation of their generators,"
Dependence Modeling, De Gruyter, vol. 1(2013), pages 1-36, October.
- Elena Di Bernardino & Didier Rullière, 2013. "On certain transformation of Archimedean copulas: Application to the non-parametric estimation of their generators," Post-Print hal-00834000, HAL.
- Mehdi Omidi & Mohsen Mohammadzadeh, 2016. "A new method to build spatio-temporal covariance functions: analysis of ozone data," Statistical Papers, Springer, vol. 57(3), pages 689-703, September.
- Elena Di Bernardino & Didier Rullière, 2016. "On tail dependence coefficients of transformed multivariate Archimedean copulas," Post-Print hal-00992707, HAL.
- Durante Fabrizio & Fernández-Sánchez Juan & Trutschnig Wolfgang, 2014. "Solution to an open problem about a transformation on the space of copulas," Dependence Modeling, De Gruyter, vol. 2(1), pages 1-8, November.
- Girard Stéphane, 2018. "Transformation of a copula using the associated co-copula," Dependence Modeling, De Gruyter, vol. 6(1), pages 298-308, December.
- Jaap Spreeuw, 2022. "The Copula Derived from the SAHARA Utility Function," Risks, MDPI, vol. 10(7), pages 1-10, June.
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More about this item
Keywords
Copula; Kendall’s tau; Archimedean copula; Tail dependence coefficient; Transform; 62H20; 62H12; 62G32;All these keywords.
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Statistics
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