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type_genre:"Arbeitspapier"
type_genre:"No longer published / No longer aquired"
~accessRights:"free"
~person:"Einmahl, John H. J."
~person:"Sperlich, Stefan"
~subject:"Ausreißer"
~subject:"Regressionsanalyse"
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Search: subject_exact:"Estimation theory"
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Regressionsanalyse
Estimation theory
30
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4
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tail dependence
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Einmahl, John H. J.
Sperlich, Stefan
Dette, Holger
39
Phillips, Peter C. B.
30
Härdle, Wolfgang
29
Gao, Jiti
20
Chernozhukov, Victor
19
Weidner, Martin
14
Neumeyer, Natalie
12
Cai, Zongwu
11
Linton, Oliver
11
Van Keilegom, Ingrid
11
Arai, Yoichi
10
Croux, Christophe
10
Belloni, Alexandre
9
Daouia, Abdelaati
9
Fernández-Val, Iván
9
Hansen, Christian Bailey
9
Jochmans, Koen
9
Florens, Jean-Pierre
8
Melas, Vjačeslav Borisovič
8
Cattaneo, Matias D.
7
Chen, Xiaohong
7
Honda, Toshio
7
Horowitz, Joel
7
Lee, Sokbae
7
Newey, Whitney K.
7
Pesaran, M. Hashem
7
Słoczyński, Tymon
7
Thomas-Agnan, Christine
7
Yang, Lijian
7
Biedermann, Stefanie
6
Birke, Melanie
6
Carroll, Raymond J.
6
Claeskens, Gerda
6
Feng, Yuanhua
6
Gonzalo, Jesús
6
Kitagawa, Toru
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Sonderforschungsbereich Quantifikation und Simulation Ökonomischer Prozesse
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Discussion paper / Center for Economic Research, Tilburg University
13
Discussion papers / Courant Research Centre "Poverty, Equity and Growth in Developing and Transition Countries: Statistical Methods and Empirical Analysis"
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Discussion papers of interdisciplinary research project 373
2
Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
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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
Einmahl, John H. J.
;
He, Yi
-
2022
Persistent link: https://www.econbiz.de/10013343247
Saved in:
3
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:
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
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
Saved in:
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
Saved in:
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
Estimation of extreme depth-based quantile regions
He, Yi
;
Einmahl, John H. J.
-
2014
Persistent link: https://www.econbiz.de/10011282830
Saved in:
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