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Subject
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tail dependence functions 2 Additive generator 1 Archimax copula 1 Archimedean copulas 1 Dependence function 1 EGARCH 1 Face of a copula 1 Generator of dependence functions 1 Monotone dependence functions Measures of dependence Quantile Independent 1 Positively (negatively) quadrant dependent random variables 1 Risk measures 1 association model 1 bivariate threshold method 1 dependence functions 1 domains of attraction 1 extreme value distributions 1 extreme values 1 iterative proportional fitting algorithm 1 local odds ratios 1 loglinear model 1 multivariate dependence functions 1 multivariate expectiles 1 pair-copula constructions 1 portfolio optimization 1 regular variations 1 regular vines 1
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Undetermined 5 Free 1
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Article 6
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Undetermined 6
Author
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Capéraà, Philippe 1 Fougères, Anne-Laure 1 Genest, Christian 1 Krajka, A. 1 Maume-Deschamps, Véronique 1 Rullière, Didier 1 Said, Khalil 1 Travkin, A. 1 Wang, Yuchung 1 Wysocki, Włodzimierz 1
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Statistics & Probability Letters 2 Journal of Multivariate Analysis 1 Journal of the New Economic Association 1 Psychometrika 1 Statistics & Risk Modeling 1
Source
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RePEc 5 Other ZBW resources 1
Showing 1 - 6 of 6
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Estimating Pair-Copula Constructions Using Empirical Tail Dependence Functions: an Application to Russian Stock Market
Travkin, A. - In: Journal of the New Economic Association 25 (2015) 1, pp. 39-55
is done by minimizing the distances between theoretical and empirical tail dependence functions. This method is believed …
Persistent link: https://www.econbiz.de/10011276286
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Extremes for multivariate expectiles
Maume-Deschamps, Véronique; Rullière, Didier; Said, Khalil - In: Statistics & Risk Modeling 35 (2018) 3-4, pp. 111-140
Abstract Multivariate expectiles, a new family of vector-valued risk measures, were recently introduced in the literature. [ 22 ]. Here we investigate the asymptotic behavior of these measures in a multivariate regular variation context. For models with equivalent tails, we propose an estimator...
Persistent link: https://www.econbiz.de/10014621263
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When a copula is archimax
Wysocki, Włodzimierz - In: Statistics & Probability Letters 83 (2013) 1, pp. 37-45
We discuss necessary and sufficient conditions for a copula to be archimax. We give a differential equation (depending on a function parameter) whose solution gives an additive generator of an Archimedean copula. We present two important applications of this differential equation. The first...
Persistent link: https://www.econbiz.de/10011039890
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Bivariate Distributions with Given Extreme Value Attractor
Capéraà, Philippe; Fougères, Anne-Laure; Genest, … - In: Journal of Multivariate Analysis 72 (2000) 1, pp. 30-49
A new class of bivariate distributions is introduced and studied, which encompasses Archimedean copulas and extreme value distributions as special cases. Its dependence structure is described, its maximum and minimum attractors are determined, and an algorithm is given for generating...
Persistent link: https://www.econbiz.de/10005199365
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On the class of g-monotone dependence functions
Krajka, A. - In: Statistics & Probability Letters 39 (1998) 3, pp. 213-227
In this paper a higher class of monotone dependence functions is defined and their properties are investigated. A class … of monotone dependence functions is introduced in Kowalczyk (1987) and Kowalczyk et al. (1977). Another, one parameter … class is considered in Krajka et al. (1992). The higher class of monotone dependence functions described in this paper …
Persistent link: https://www.econbiz.de/10005074557
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Multivariate normal integrals and contingency tables with ordered categories
Wang, Yuchung - In: Psychometrika 62 (1997) 2, pp. 267-284
Persistent link: https://www.econbiz.de/10005381534
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