Estimating the tail-dependence coefficient: properties and pitfalls
From MaRDI portal
Publication:2567090
DOI10.1016/j.insmatheco.2005.05.008zbMath1101.62012OpenAlexW2057110654MaRDI QIDQ2567090
Rafael Schmidt, Markus Junker, Gabriel Frahm
Publication date: 29 September 2005
Published in: Insurance Mathematics \& Economics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.insmatheco.2005.05.008
Nonparametric estimation (62G05) Point estimation (62F10) Statistics of extreme values; tail inference (62G32)
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Cites Work
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- Goodness-of-fit tests for copulas
- Estimating a multidimensional extreme-value distribution
- A statistic for testing the null hypothesis of elliptical symmetry
- Bivariate extreme statistics. I
- A characterization of Gumbel's family of extreme value distributions
- A distribution-free M-estimator of multivariate scatter
- On the simultaneous associativity of F(x,y) and x+y-F(x,y)
- On the limiting behavior of the Pickands estimator for bivariate extreme- value distributions
- An introduction to copulas. Properties and applications
- Estimating the spectral measure of an extreme value distribution
- Tail dependence for elliptically contoured distributions
- Copula convergence theorems for tail events.
- Elliptical copulas: Applicability and limitations.
- Bivariate tail estimation: dependence in asymptotic independence
- Selecting the optimal sample fraction in univariate extreme value estimation
- Estimation of a bivariate extreme value distribution
- Efficient estimation of the canonical dependence function
- Bivariate distributions with given extreme value attractor
- Statistics of Multivariate Extremes
- Copules archimédiennes et families de lois bidimensionnelles dont les marges sont données
- Bivariate extreme value theory: Models and estimation
- Statistics for near independence in multivariate extreme values
- Estimating the limit distribution of multivariate extremes
- Inferences on the Association Parameter in Copula Models for Bivariate Survival Data
- A nonparametric estimation procedure for bivariate extreme value copulas
- Model Selection and Semiparametric Inference for Bivariate Failure-Time Data
- A semi-parametric approach to risk management
- Value-at-Risk-efficient portfolios for a class of super- and sub-exponentially decaying assets return distributions
- A semiparametric estimation procedure of dependence parameters in multivariate families of distributions
- Non-parametric estimation of the limit dependence function
- Dependence measures for extreme value analyses