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isPartOf:"Monographs on statistics and applied probability"
~isPartOf:"Discussion paper / Center for Economic Research, Tilburg University"
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Search: subject_exact:"Extremwerttheorie"
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4
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Monographs on statistics and applied probability
Discussion paper / Center for Economic Research, Tilburg University
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Tail copula estimation for heteroscedastic extremes
Einmahl, John H. J.
;
Chen Zhou
-
2024
Persistent link: https://www.econbiz.de/10014467520
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2
Extreme value inference for general heterogeneous data
Einmahl, John H. J.
;
He, Yi
-
2022
Persistent link: https://www.econbiz.de/10013343247
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3
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:
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
Empirical tail copulas for functional data
Einmahl, John H. J.
;
Segers, Johan
-
2020
Persistent link: https://www.econbiz.de/10012161555
Saved in:
6
Unified extreme value estimation for heterogeneous data
Einmahl, John H. J.
;
He, Yi
-
2020
Persistent link: https://www.econbiz.de/10012291907
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
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8
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
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9
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:
10
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
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