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ECONIS (ZBW)
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1
Tail copula estimation for heteroscedastic extremes
Einmahl, John H. J.
;
Chen Zhou
-
2024
Persistent link: https://www.econbiz.de/10014467520
Saved in:
2
Extreme value inference for general heterogeneous data
He, Yi
;
Einmahl, John H. J.
-
2024
Persistent link: https://www.econbiz.de/10014528470
Saved in:
3
Empirical likelihood based testing for multivariate regular variation
Einmahl, John H. J.
;
Krajina, Andrea
-
2023
Persistent link: https://www.econbiz.de/10013475286
Saved in:
4
Consumption partial insurance in the presence of tail income risk
Ghosh, Anisha
;
Theloudis, Alexandros
-
2023
Persistent link: https://www.econbiz.de/10014339954
Saved in:
5
Two-sample testing for tail copulas with an application to equity indices
Can, Sami Umut
;
Einmahl, John H. J.
;
Laeven, Roger J. A.
-
2021
Persistent link: https://www.econbiz.de/10012586114
Saved in:
6
Extreme value statistics in semi-supervised models
Ahmed, Hanan
;
Einmahl, John H. J.
;
Chen Zhou
-
2021
Persistent link: https://www.econbiz.de/10012439457
Saved in:
7
Unified extreme value estimation for heterogeneous data
Einmahl, John H. J.
;
He, Yi
-
2020
Persistent link: https://www.econbiz.de/10012291907
Saved in:
8
Spatial dependence and space-time trends in extreme event
Einmahl, John H. J.
;
Ferreira, Ana
;
Haan, Laurens de
; …
-
2020
Persistent link: https://www.econbiz.de/10012182625
Saved in:
9
Empirical tail copulas for functional data
Einmahl, John H. J.
;
Segers, Johan
-
2020
Persistent link: https://www.econbiz.de/10012161555
Saved in:
10
Improved estimation of the extreme value index using related variables
Ahmed, Hanan
;
Einmahl, John H. J.
-
2018
Persistent link: https://www.econbiz.de/10011879741
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