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  • Search: subject:"Composite quasi-maximum likelihood estimation"
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Year of publication
Subject
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Lasso 3 Composite quasi-maximum likelihood estimation 2 Model selection 2 Co- VaR estimation 1 CoVaR 1 Estimation theory 1 Maximum likelihood estimation 1 Maximum-Likelihood-Schätzung 1 Minimum Average Contrast Estimation 1 Minimum average contrast estimation 1 Quantile Single-index Regression 1 Quantile single-index regression 1 Regression analysis 1 Regressionsanalyse 1 Risikomaß 1 Risk measure 1 Schätztheorie 1 co-VaR estimation 1 composite quasi-maximum likelihood estimation 1 minimum average contrast estimation 1 model selection 1 quantile single-index regression 1
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Online availability
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Free 2 Undetermined 1
Type of publication
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Book / Working Paper 2 Article 1
Type of publication (narrower categories)
All
Article in journal 1 Aufsatz in Zeitschrift 1 Working Paper 1
Language
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English 2 Undetermined 1
Author
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Fan, Yan 3 Wang, Weining 3 Zhu, Lixing 3 Härdle, Wolfgang Karl 2 Härdle, Wolfgang 1
Institution
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Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät 1
Published in...
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Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1 SFB 649 Discussion Paper 1 SFB 649 Discussion Papers 1
Source
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ECONIS (ZBW) 1 EconStor 1 RePEc 1
Showing 1 - 3 of 3
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Composite quantile regression for the single-index model
Fan, Yan; Härdle, Wolfgang Karl; Wang, Weining; Zhu, Lixing - 2013
Quantile regression is in the focus of many estimation techniques and is an important tool in data analysis. When it comes to nonparametric specifications of the conditional quantile (or more generally tail) curve one faces, as in mean regression, a dimensionality problem. We propose a...
Persistent link: https://www.econbiz.de/10010330967
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Cover Image
Composite Quantile Regression for the Single-Index Model
Fan, Yan; Härdle, Wolfgang Karl; Wang, Weining; Zhu, Lixing - Sonderforschungsbereich 649: Ökonomisches Risiko, … - 2013
Quantile regression is in the focus of many estimation techniques and is an important tool in data analysis. When it comes to nonparametric specifications of the conditional quantile (or more generally tail) curve one faces, as in mean regression, a dimensionality problem. We propose a...
Persistent link: https://www.econbiz.de/10010609988
Saved in:
Cover Image
Single-index-based CoVaR with very high-dimensional covariates
Fan, Yan; Härdle, Wolfgang; Wang, Weining; Zhu, Lixing - In: Journal of business & economic statistics : JBES ; a … 36 (2018) 2, pp. 212-226
Persistent link: https://www.econbiz.de/10011894611
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