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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
Extreme value inference for general heterogeneous data
Einmahl, John H. J.
;
He, Yi
-
2022
Persistent link: https://www.econbiz.de/10013343247
Saved in:
4
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:
5
Unified extreme value estimation for heterogeneous data
Einmahl, John H. J.
;
He, Yi
-
2020
Persistent link: https://www.econbiz.de/10012291907
Saved in:
6
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:
7
Empirical tail copulas for functional data
Einmahl, John H. J.
;
Segers, Johan
-
2020
Persistent link: https://www.econbiz.de/10012161555
Saved in:
8
Testing the multivariate regular variation model
Einmahl, John H. J.
;
Yang, Fan
;
Chen Zhou
-
2018
Persistent link: https://www.econbiz.de/10011920524
Saved in:
9
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:
10
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:
11
Bridging Centrality and Extremity : Refining Empirical Data Depth using Extreme Value Statistics
Einmahl, John H. J.
;
Li, Jun
;
Liu, Regina Y.
-
2015
Persistent link: https://www.econbiz.de/10011350125
Saved in:
12
Estimation of extreme depth-based quantile regions
He, Yi
;
Einmahl, John H. J.
-
2014
Persistent link: https://www.econbiz.de/10011282830
Saved in:
13
Asymptotically distribution-free goodness-of-fit testing for tail copulas
Can, Sami Umut
;
Einmahl, John H. J.
;
Khmaladze, Estate V.
; …
-
2014
Persistent link: https://www.econbiz.de/10011283328
Saved in:
14
Statistics of heteroscedastic extremes
Einmahl, John H. J.
;
Haan, Laurens de
;
Chen Zhou
-
2014
Persistent link: https://www.econbiz.de/10010395089
Saved in:
15
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:
16
Asymptotics for the Hirsch index
Beirlant, Jan
(
contributor
);
Einmahl, John H. J.
(
contributor
)
-
2007
Persistent link: https://www.econbiz.de/10003686469
Saved in:
17
Weighted approximations of tail copula processes with application to testing the multivariate extreme value condition
Einmahl, John H. J.
(
contributor
); …
-
2004
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002240253
Saved in:
18
Ultimate 100m world records through extreme-value theory
Einmahl, John H. J.
;
Smeets, Sander G. W. R.
-
2009
Persistent link: https://www.econbiz.de/10003865811
Saved in:
19
Maximum empirical likelihood estimation of the spectral measure of an extreme value distribution
Einmahl, John H. J.
(
contributor
);
Segers, Johan
(
contributor
)
-
2008
Persistent link: https://www.econbiz.de/10003736689
Saved in:
20
Records in athletics through extreme - value theory
Einmahl, John H. J.
(
contributor
); …
-
2006
Persistent link: https://www.econbiz.de/10003384924
Saved in:
21
Extreme value theory approach to simultaneous monitoring and tresholding of multiple risk indicators
Einmahl, John H. J.
(
contributor
);
Li, Jun
(
contributor
); …
-
2006
Persistent link: https://www.econbiz.de/10003387380
Saved in:
22
The generalized extreme value random utility model for continuous choice
Dagsvik, John K.
-
1989
Persistent link: https://www.econbiz.de/10000782886
Saved in:
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