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  • Search: subject:"High-dimensional modeling"
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Year of publication
Subject
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High dimensional modeling 3 Estimation 2 Estimation theory 2 Panel data 2 Regression analysis 2 Regressionsanalyse 2 Schätztheorie 2 Schätzung 2 Analysis of variance 1 Asset Pricing 1 Bayes-Statistik 1 Bayesian analysis 1 Bayesian inference 1 Bridge estimators 1 CAPM 1 Capital market theory 1 Capital structure 1 Correlation 1 Covariance matrix estimation 1 Covariance regression 1 Downside risk 1 Factor Selection 1 Factor Zoo 1 Factor analysis 1 Faktorenanalyse 1 Firms’ choice of capital structure 1 Folded concave penalty 1 Fourier transform 1 Hierarchical Archimedean copulas 1 High-Dimensional Modeling 1 High-dimensional modeling 1 Kapitalmarkttheorie 1 Kapitalstruktur 1 Korrelation 1 Lévy subordinators 1 Multivariate Verteilung 1 Multivariate distribution 1 Panel 1 Panel study 1 Portfolio selection 1
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Online availability
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Undetermined 4 Free 2
Type of publication
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Article 4 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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English 5 Undetermined 1
Author
All
Bertelsen, Kristoffer Pons 1 Bonato, Matteo 1 Cai, Zhanrui 1 Gao, Yuan 1 Ken Seng Tan 1 Kock, Anders Bredahl 1 Smith, Simon C. 1 Timmermann, Allan 1 Wang, Chou-Wen 1 Wang, Hansheng 1 Zhang, Zhiyuan 1 Zhu, Wenjun 1 Zhu, Xuening 1 Zhu, Yinchu 1 Zou, Tao 1
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Institution
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School of Economics and Management, University of Aarhus 1
Published in...
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CREATES Research Papers 1 CREATES research paper 1 Computational Statistics 1 Journal of banking & finance 1 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1 Journal of econometrics 1
Source
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ECONIS (ZBW) 4 RePEc 2
Showing 1 - 6 of 6
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The prior adaptive group lasso and the Factor Zoo
Bertelsen, Kristoffer Pons - 2022 - This version: January 20, 2022
Persistent link: https://www.econbiz.de/10012816390
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Penalized sparse covariance regression with high dimensional covariates
Gao, Yuan; Zhang, Zhiyuan; Cai, Zhanrui; Zhu, Xuening; … - In: Journal of business & economic statistics : JBES ; a … 43 (2025) 3, pp. 615-626
Persistent link: https://www.econbiz.de/10015534307
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Variable selection in panel models with breaks
Smith, Simon C.; Timmermann, Allan; Zhu, Yinchu - In: Journal of econometrics 212 (2019) 1, pp. 323-344
Persistent link: https://www.econbiz.de/10012303949
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Structure and estimation of Lévy subordinated hierarchical Archimedean copulas (LSHAC) : theory and empirical tests
Zhu, Wenjun; Wang, Chou-Wen; Ken Seng Tan - In: Journal of banking & finance 69 (2016), pp. 20-36
Persistent link: https://www.econbiz.de/10011635001
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Oracle Efficient Variable Selection in Random and Fixed Effects Panel Data Models
Kock, Anders Bredahl - School of Economics and Management, University of Aarhus - 2010
This paper generalizes the results for the Bridge estimator of Huang et al. (2008) to linear random and fixed effects panel data models which are allowed to grow in both dimensions. In particular, we show that the Bridge estimator is oracle efficient. It can correctly distinguish between...
Persistent link: https://www.econbiz.de/10008525438
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Modeling fat tails in stock returns: a multivariate stable-GARCH approach
Bonato, Matteo - In: Computational Statistics 27 (2012) 3, pp. 499-521
In this paper a new multivariate volatility model is proposed. It combines the appealing properties of the stable Paretian distribution to model the heavy tails with the GARCH model to capture the volatility clustering. Returns on assets are assumed to follow a sub-Gaussian distribution, which...
Persistent link: https://www.econbiz.de/10010847983
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