On the effect of long-range dependence on extreme value copula estimation with fixed marginals
DOI10.1080/03610926.2014.948198zbMath1349.62393OpenAlexW2304516406MaRDI QIDQ2830777
Publication date: 31 October 2016
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2014.948198
asymptotic distributionestimationlong memoryfunctional limit theoremlong-range dependencePickands dependence functionextreme value copula
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Statistics of extreme values; tail inference (62G32) Functional limit theorems; invariance principles (60F17)
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- Nonparametric estimation of multivariate extreme-value copulas
- Nonparametric estimation of an extreme-value copula in arbitrary dimensions
- A characterization of Gumbel's family of extreme value distributions
- On the limiting behavior of the Pickands estimator for bivariate extreme- value distributions
- Estimating the dimension of a model
- On the asymptotic distributions of partial sums of functionals of infinite-variance moving averages
- Distribution and dependence-function estimation for bivariate extreme-value distributions.
- SEMIFAR models -- a semiparametric approach to modelling trends, long-range dependence and nonstationarity
- Stable limits of empirical processes of moving averages with infinite variance.
- Stable limits of sums of bounded functions of long memory moving averages with finite variance
- Asymptotics of empirical processes of long memory moving averages with infinite variance.
- Convergence of sums of Appell polynomials with infinite variance
- Limit theorems for nonlinear functionals of a stationary Gaussian sequence of vectors
- Nonstandard limit theorem for infinite variance functionals
- Nonparametric estimation of the dependence function for a multivariate extreme value distribution
- Dependence in probability and statistics.
- Long Memory in Economics
- Weak convergence to fractional brownian motion and to the rosenblatt process
- Limit theory for multivariate sample extremes
- A nonparametric estimation procedure for bivariate extreme value copulas
- Statistics of Extremes
- Long-Memory Processes
- A Mixture Model for Multivariate Extremes
- Projection estimators of Pickands dependence functions
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