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  • Search: subject:"oracle estimator"
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Year of publication
Subject
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oracle estimator 5 B-splines 4 Cox regression model 4 L2 convergence rate 4 Schätztheorie 4 Theorie 4 adaptive group Lasso 4 group SCAD 4 high-dimensional data 4 sparsity 4 Estimation theory 3 Oracle estimator 2 Regression analysis 2 Regressionsanalyse 2 Theory 2 Vector Auto Regression 2 Algorithm 1 Algorithmus 1 Binary segmentation algorithm 1 Cluster analysis 1 Clusteranalyse 1 Clustering 1 Community detection 1 Decomposition method 1 Dekompositionsverfahren 1 Group Lasso 1 Lasso 1 Network 1 Panel 1 Panel structure model 1 Panel study 1 Parameter heterogeneity 1 Regression 1 Regularization 1 Singular value decomposition 1 Time Series 1 VAR-Modell 1 Zeitreihenanalyse 1 group lasso 1 lasso 1
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Online availability
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Free 6 Undetermined 1
Type of publication
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Book / Working Paper 6 Article 1
Type of publication (narrower categories)
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Working Paper 4 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 6 Undetermined 1
Author
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Honda, Toshio 4 Bickel, Peter J. 2 Härdle, Wolfgang Karl 2 Song, Song 2 Härdle, Wolfgang 1 Su, Liangjun 1 Wang, Wuyi 1 Yaba, Ryota 1
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Institution
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Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät 2
Published in...
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SFB 649 Discussion Paper 2 SFB 649 Discussion Papers 2 Discussion papers / Graduate School of Economics, Hitotsubashi University 1 Journal of econometrics 1 SFB 649 discussion paper 1
Source
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ECONIS (ZBW) 3 EconStor 2 RePEc 2
Showing 1 - 7 of 7
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Identifying latent group structures in nonlinear panels
Wang, Wuyi; Su, Liangjun - In: Journal of econometrics 220 (2021) 2, pp. 272-295
Persistent link: https://www.econbiz.de/10012618514
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Variable selection and structure identification for varying coefficient Cox models
Honda, Toshio; Yaba, Ryota - 2016
Persistent link: https://www.econbiz.de/10011549895
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Variable selection in Cox regression models with varying coefficients
Honda, Toshio; Härdle, Wolfgang Karl - 2012
We deal with two kinds of Cox regression models with varying coefficients. The coefficients vary with time in one model. In the other model, there is an important random variable called an index variable and the coefficients vary with the variable. In both models, we have p-dimensional...
Persistent link: https://www.econbiz.de/10010318744
Saved in:
Cover Image
Variable selection in Cox regression models with varying coefficients
Honda, Toshio; Härdle, Wolfgang Karl - Sonderforschungsbereich 649: Ökonomisches Risiko, … - 2012
We deal with two kinds of Cox regression models with varying coefficients. The coefficients vary with time in one model. In the other model, there is an important random variable called an index variable and the coefficients vary with the variable. In both models, we have p-dimensional...
Persistent link: https://www.econbiz.de/10010581006
Saved in:
Cover Image
Variable selection in Cox regression models with varying coefficients
Honda, Toshio; Härdle, Wolfgang - 2012
We deal with two kinds of Cox regression models with varying coefficients. The coefficients vary with time in one model. In the other model, there is an important random variable called an index variable and the coefficients vary with the variable. In both models, we have p-dimensional...
Persistent link: https://www.econbiz.de/10009631560
Saved in:
Cover Image
Large vector auto regressions
Song, Song; Bickel, Peter J. - 2011
One popular approach for nonstructural economic and financial forecasting is to include a large number of economic and financial variables, which has been shown to lead to significant improvements for forecasting, for example, by the dynamic factor models. A challenging issue is to determine...
Persistent link: https://www.econbiz.de/10010281503
Saved in:
Cover Image
Large Vector Auto Regressions
Song, Song; Bickel, Peter J. - Sonderforschungsbereich 649: Ökonomisches Risiko, … - 2011
One popular approach for nonstructural economic and financial forecasting is to include a large number of economic and financial variables, which has been shown to lead to significant improvements for forecasting, for example, by the dynamic factor models. A challenging issue is to determine...
Persistent link: https://www.econbiz.de/10009209822
Saved in:
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