Statistical inference on a changing extreme value dependence structure
Author:
Affiliation:
1. Department of Mathematics, University of Hamburg
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference24 articles.
1. Ahmad, A. A., Deme, E. H., Diop, A., Girard, S. and Usseglio-Carleve, A. (2020). Estimation of extreme quantiles from heavy-tailed distributions in a location-dispersion regression model. Electron. J. Stat. 14 4421–4456.
2. Wang, H. J. and Li, D. (2013). Estimation of extreme conditional quantiles through power transformation. J. Amer. Statist. Assoc. 108 1062–1074.
3. DAOUIA, A., GARDES, L. and GIRARD, S. (2013). On kernel smoothing for extremal quantile regression. Bernoulli 19 2557–2589.
4. DELGADO, M. A. (1993). Testing the equality of nonparametric regression curves. Statist. Probab. Lett. 17 199–204.
5. DREES, H. (2023). Supplement to “Statistical inference on a changing extreme value dependence structure.” https://doi.org/10.1214/23-AOS2314SUPP
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