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~isPartOf:"Discussion paper / Center for Economic Research, Tilburg University"
~person:"Einmahl, John H. J."
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Einmahl, John H. J.
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Tail copula estimation for heteroscedastic extremes
Einmahl, John H. J.
;
Chen Zhou
-
2024
Persistent link: https://www.econbiz.de/10014467520
Saved in:
2
Empirical likelihood based testing for multivariate regular variation
Einmahl, John H. J.
;
Krajina, Andrea
-
2023
Persistent link: https://www.econbiz.de/10013475286
Saved in:
3
Extreme value inference for general heterogeneous data
Einmahl, John H. J.
;
He, Yi
-
2022
Persistent link: https://www.econbiz.de/10013343247
Saved in:
4
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:
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
Testing the multivariate regular variation model
Einmahl, John H. J.
;
Yang, Fan
;
Chen Zhou
-
2018
Persistent link: https://www.econbiz.de/10011920524
Saved in:
8
Empirical tail copulas for functional data
Einmahl, John H. J.
;
Segers, Johan
-
2020
Persistent link: https://www.econbiz.de/10012161555
Saved in:
9
Cube root weak convergence of empirical estimators of a density level set
Berthet, Philippe
;
Einmahl, John H. J.
-
2020
Persistent link: https://www.econbiz.de/10012227977
Saved in:
10
Unified extreme value estimation for heterogeneous data
Einmahl, John H. J.
;
He, Yi
-
2020
Persistent link: https://www.econbiz.de/10012291907
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