Tail-weighted dependence measures with limit being the tail dependence coefficient
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Publication:4643622
DOI10.1080/10485252.2017.1407414zbMath1408.62097OpenAlexW2774171700MaRDI QIDQ4643622
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Publication date: 28 May 2018
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485252.2017.1407414
Asymptotic properties of nonparametric inference (62G20) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Statistics of extreme values; tail inference (62G32)
Related Items (6)
Copula diagnostics for asymmetries and conditional dependence ⋮ Estimation of multivariate tail quantities ⋮ Nonparametric estimation of multivariate tail probabilities and tail dependence coefficients ⋮ New measure of the bivariate asymmetry ⋮ Modeling spatial tail dependence with Cauchy convolution processes ⋮ Copula-based measures of asymmetry between the lower and upper tail probabilities
Uses Software
Cites Work
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- Asymptotics of empirical copula processes under non-restrictive smoothness assumptions
- Extreme value properties of multivariate \(t\) copulas
- Tail order and intermediate tail dependence of multivariate copulas
- New estimators of the Pickands dependence function and a test for extreme-value dependence
- An introduction to copulas.
- Multivariate conditional versions of Spearman's rho and related measures of tail dependence
- On the limiting behavior of the Pickands estimator for bivariate extreme- value distributions
- Distribution and dependence-function estimation for bivariate extreme-value distributions.
- Weak convergence of empirical copula processes
- A general theory for jackknife variance estimation
- Weak convergence and empirical processes. With applications to statistics
- Estimating the tail-dependence coefficient: properties and pitfalls
- Generalized madogram and pairwise dependence of maxima over two regions of a random field
- Spearman's footrule and Gini's gamma: a review with complements
- Dependence Modeling with Copulas
- Variograms for spatial max-stable random fields
- Nonparametric estimation of the lower tail dependence λLin bivariate copulas
- Modelling pairwise dependence of maxima in space
- Statistics for near independence in multivariate extreme values
- A nonparametric estimation procedure for bivariate extreme value copulas
- Tail-weighted measures of dependence
- Understanding Relationships Using Copulas
- Semiparametric estimation in copula models
- A directory of coefficients of tail dependence
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