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accessRights:"free"
type_genre:"Working Paper"
~isPartOf:"Discussion paper / Center for Economic Research, Tilburg University"
~source:"econis"
~subject:"Statistische Verteilung"
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Search: subject_exact:"Estimation theory"
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Statistische Verteilung
Estimation theory
59
Schätztheorie
59
Theorie
22
Theory
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Statistical distribution
15
Ausreißer
13
Outliers
13
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Estimation
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Multivariate Verteilung
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Multivariate distribution
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Probability theory
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Kleinste-Quadrate-Methode
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Least squares method
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Maximum likelihood estimation
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Maximum-Likelihood-Schätzung
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Panel
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Panel study
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tail dependence
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Extreme value statistics
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Heteroscedasticity
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Ranking method
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Ranking-Verfahren
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extreme value statistics
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English
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Einmahl, John H. J.
11
Chen Zhou
3
He, Yi
3
Segers, Johan
3
Ahmed, Hanan
2
Kiriliouk, Anna
2
Krajina, Andrea
2
Andreou, Elena
1
Batenburg, Paul van
1
Danilov, Dmitry L.
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Groenendaal, Willem J. van
1
Haan, Laurens de
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Mathijssen, A. C. A.
1
Moors, Hans
1
Moors, Johannes J. A.
1
Schuld, M. H.
1
Stewart, Trevor
1
Strijbosch, L. W. G.
1
Strijbosch, Leo
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Discussion paper / Center for Economic Research, Tilburg University
CEMMAP working papers / Centre for Microdata Methods and Practice
19
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18
Discussion papers of interdisciplinary research project 373
11
ECARES working paper
11
Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
10
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Cowles Foundation discussion paper
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Discussion paper series / IZA
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CREATES research paper
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Working paper / Department of Econometrics and Business Statistics, Monash University
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IES working paper
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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
Empirical likelihood based testing for multivariate regular variation
Einmahl, John H. J.
;
Krajina, Andrea
-
2023
Persistent link: https://www.econbiz.de/10013475286
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
Empirical tail copulas for functional data
Einmahl, John H. J.
;
Segers, Johan
-
2020
Persistent link: https://www.econbiz.de/10012161555
Saved in:
7
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:
8
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:
9
Estimation of extreme depth-based quantile regions
He, Yi
;
Einmahl, John H. J.
-
2014
Persistent link: https://www.econbiz.de/10011282830
Saved in:
10
Statistics of heteroscedastic extremes
Einmahl, John H. J.
;
Haan, Laurens de
;
Chen Zhou
-
2014
Persistent link: https://www.econbiz.de/10010395089
Saved in:
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