GENERAL CHARACTERIZATION OF SOME STATISTICAL TOOLS FOR MEASURING ASYMPTOTIC DEPENDENCE
DOI10.17654/TS054030225zbMath1433.62138OpenAlexW2800876743WikidataQ129851900 ScholiaQ129851900MaRDI QIDQ5204667
Lassina Diabaté, Diakarya Barro, Ladji Kané, Moumouni Diallo
Publication date: 5 December 2019
Published in: Far East Journal of Theoretical Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.17654/ts054030225
Multivariate distribution of statistics (62H10) Directional data; spatial statistics (62H11) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Statistics of extreme values; tail inference (62G32)
Uses Software
Cites Work
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- Fragility index of block tailed vectors
- Spatial modeling of extreme snow depth
- An introduction to copulas.
- Families of min-stable multivariate exponential and multivariate extreme value distributions
- Spatial tail dependence and survival stability in a class of Archimedean copulas
- Bivariate tail estimation: dependence in asymptotic independence
- Extreme value theory. Proceedings of a conference held in Oberwolfach, FRG, Dec. 6-12, 1987
- Bivariate distributions with given extreme value attractor
- Generalized madogram and pairwise dependence of maxima over two regions of a random field
- Measurement of aggregate risk with copulas
- A New Class of Models for Bivariate Joint Tails
- Modelling pairwise dependence of maxima in space
- A dependence measure for multivariate and spatial extreme values: Properties and inference
- Families of Multivariate Distributions
- Statistics of Extremes
- An introduction to statistical modeling of extreme values
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