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  • Search: subject:"bivariate copulas"
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Year of publication
Subject
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Bivariate copulas 1 Expert judgement 1 Gaussian copula 1 Information 1 Insurance 1 Monte Carlo simulation 1 Monte-Carlo simulation 1 Monte-Carlo-Simulation 1 Multivariate Verteilung 1 Multivariate distribution 1 Risiko 1 Risikomanagement 1 Risikomaß 1 Risikomodell 1 Risk 1 Risk management 1 Risk measure 1 Risk model 1 Simulation 1 Theorie 1 Theory 1 Uncertainty modelling 1 VaR 1 Versicherung 1 bivariate copulas 1 dependence structure 1 non-life insurance 1 pairwise and global normality 1 risk aggregation 1 trivariate copulas with fixed bivariate copulas 1 value-at-risk 1
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Online availability
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Undetermined 2 Free 1
Type of publication
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Article 2 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2 Undetermined 1
Author
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Arab, Mounira Ben 1 Bedford, Tim 1 Loisel, Stéphane 1 Mejdoub, Hanène 1 Wilson, Kevin 1
Institution
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HAL 1
Published in...
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Annals of the Institute of Statistical Mathematics 1 International journal of computational economics and econometrics 1 Working Papers / HAL 1
Source
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RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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Insurance risk capital and risk aggregation : bivariate copula approach
Mejdoub, Hanène; Arab, Mounira Ben - In: International journal of computational economics and … 9 (2019) 3, pp. 202-218
Persistent link: https://www.econbiz.de/10012115324
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A trivariate non-Gaussian copula having 2-dimensional Gaussian copulas as margins
Loisel, Stéphane - HAL - 2009
Arthur Charpentier (see Arthur's blog) was recently contacted by some researchers willing to test if a multivariate copula is - or not - Gaussian. They use a test proposed in Malevergne and Sornette (2003) stating that one should simply test for pairwise normality. This test may be of importance...
Persistent link: https://www.econbiz.de/10008794836
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On the construction of minimum information bivariate copula families
Bedford, Tim; Wilson, Kevin - In: Annals of the Institute of Statistical Mathematics 66 (2014) 4, pp. 703-723
Copulas have become very popular as modelling tools in probability applications. Given a finite number of expectation constraints for functions defined on the unit square, the minimum information copula is that copula which has minimum information (Kullback–Leibler divergence) from the uniform...
Persistent link: https://www.econbiz.de/10011000070
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