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type_genre:"Working Paper"
accessRights:"free"
~person:"Einmahl, John H. J."
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Search: subject_exact:"Estimation theory"
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Einmahl, John H. J.
Phillips, Peter C. B.
86
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74
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64
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63
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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
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
Improved regression inference using a second overlapping regression model
Peng, Liang
;
Einmahl, John H. J.
-
2021
Persistent link: https://www.econbiz.de/10012653552
Saved in:
5
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:
6
Empirical tail copulas for functional data
Einmahl, John H. J.
;
Segers, Johan
-
2020
Persistent link: https://www.econbiz.de/10012161555
Saved in:
7
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:
8
Unified extreme value estimation for heterogeneous data
Einmahl, John H. J.
;
He, Yi
-
2020
Persistent link: https://www.econbiz.de/10012291907
Saved in:
9
Improved estimation of the extreme value index using related variables
Ahmed, Hanan
;
Einmahl, John H. J.
-
2018
Persistent link: https://www.econbiz.de/10011879741
Saved in:
10
Testing the multivariate regular variation model
Einmahl, John H. J.
;
Yang, Fan
;
Chen Zhou
-
2018
Persistent link: https://www.econbiz.de/10011920524
Saved in:
11
Estimating the maximum possible earthquake magnitude using extreme value methodology : the Groningen case
Beirlant, Jan
;
Kijko, Andrzej
;
Reynkens, Tom
;
Einmahl, …
-
2017
Persistent link: https://www.econbiz.de/10011764578
Saved in:
12
Asymptotically distribution-free goodness-of-fit testing for copulas
Can, Sami Umut
;
Einmahl, John H. J.
;
Laeven, Roger J. A.
-
2017
Persistent link: https://www.econbiz.de/10011764588
Saved in:
13
A continuous updating weighted least squares estimator of tail dependence in high dimensions
Einmahl, John H. J.
;
Kiriliouk, Anna
;
Segers, Johan
-
2016
Persistent link: https://www.econbiz.de/10011427965
Saved in:
14
Estimation of extreme depth-based quantile regions
He, Yi
;
Einmahl, John H. J.
-
2014
Persistent link: https://www.econbiz.de/10011282830
Saved in:
15
Statistics of heteroscedastic extremes
Einmahl, John H. J.
;
Haan, Laurens de
;
Chen Zhou
-
2014
Persistent link: https://www.econbiz.de/10010395089
Saved in:
16
An M-estimator of spatial tail dependence
Einmahl, John H. J.
;
Kiriliouk, Anna
;
Krajina, Andrea
; …
-
2014
Persistent link: https://www.econbiz.de/10010395535
Saved in:
17
Asymptotics for the Hirsch index
Beirlant, Jan
(
contributor
);
Einmahl, John H. J.
(
contributor
)
-
2007
Persistent link: https://www.econbiz.de/10003686469
Saved in:
18
Asymptotic normality of extreme value estimators on C[0,1]
Einmahl, John H. J.
(
contributor
);
Lin, Tao
(
contributor
)
-
2003
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001900181
Saved in:
19
Empirical likelihood based hypothesis testing
Einmahl, John H. J.
(
contributor
); …
-
2002
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001718063
Saved in:
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