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  • Search: subject:"Sure Independence Screening"
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Year of publication
Subject
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Forecasting model 4 Prognoseverfahren 4 Sure independence screening 4 Kernel smoother 3 Nichtparametrisches Verfahren 3 Nonparametric statistics 3 penalised MAMAR 3 principal component analysis 3 semiparametric approximation 3 sure independence screening 3 ultra-high dimensional time series 3 Big Data 2 Big data 2 Bruttoinlandsprodukt 2 Estimation theory 2 Google search data 2 Gross domestic product 2 Hauptkomponentenanalyse 2 Nowcasting 2 Principal component analysis 2 Ridge Regularization 2 Schätztheorie 2 Search engine 2 Suchmaschine 2 Sure Independence Screening 2 Time series analysis 2 Variable selection 2 Zeitreihenanalyse 2 Binary expansion 1 Conditional sure independence screening (CSIS) 1 Cox model 1 Data heterogeneity 1 Economic indicator 1 Elastic net 1 False sign rate 1 Futures volatility prediction 1 High dimensionality 1 High-frequency data 1 Interaction 1 Interaction screening 1
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Online availability
All
Free 5 Undetermined 5
Type of publication
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Article 5 Book / Working Paper 5
Type of publication (narrower categories)
All
Working Paper 5 Arbeitspapier 4 Graue Literatur 4 Non-commercial literature 4 Article in journal 3 Aufsatz in Zeitschrift 3
Language
All
English 8 Undetermined 2
Author
All
Chen, Jia 3 Li, Degui 3 Linton, Oliver 3 Ferrara, Laurent 2 Lu, Zu-di 2 Simoni, Anna 2 Bühlmann, Peter 1 Fan, Yingying 1 Gong, Xue 1 Kong, Yinfei 1 Li, Daoji 1 Li, Jialu 1 Li, Qizhai 1 Li, Yi 1 Liu, Yufeng 1 Lu, Zudi 1 Lv, Jinchi 1 Mandozzi, Jacopo 1 Wang, Peiyao 1 Ye, Xin 1 Zhang, Kai 1 Zhang, Wan 1 Zhang, Weiguo 1 Zhang, Yue 1 Zhao, Sihai Dave 1
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Published in...
All
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 2 CEMMAP working papers / Centre for Microdata Methods and Practice 1 Computational Statistics 1 Discussion papers in economics 1 Document de travail 1 Energy economics 1 Journal of Multivariate Analysis 1 Série des documents de travail 1 cemmap working paper 1
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Source
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ECONIS (ZBW) 7 RePEc 2 EconStor 1
Showing 1 - 10 of 10
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Nonparametric prediction distribution from resolution-wise regression with heterogeneous data
Li, Jialu; Zhang, Wan; Wang, Peiyao; Li, Qizhai; Zhang, Kai - In: Journal of business & economic statistics : JBES ; a … 41 (2023) 4, pp. 1157-1172
Persistent link: https://www.econbiz.de/10014448590
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Predicting energy futures high-frequency volatility using technical indicators : the role of interaction
Gong, Xue; Ye, Xin; Zhang, Weiguo; Zhang, Yue - In: Energy economics 119 (2023), pp. 1-19
Persistent link: https://www.econbiz.de/10014280143
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When are Google data useful to nowcast GDP? : an approach via preselection and shrinkage
Ferrara, Laurent; Simoni, Anna - 2020
Persistent link: https://www.econbiz.de/10012242240
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When are Google data useful to nowcast GDP? : an approach via pre-selection and shrinkage
Ferrara, Laurent; Simoni, Anna - 2019
Persistent link: https://www.econbiz.de/10012237280
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High-dimensional interaction detection with false sign rate control
Li, Daoji; Kong, Yinfei; Fan, Yingying; Lv, Jinchi - In: Journal of business & economic statistics : JBES ; a … 40 (2022) 3, pp. 1234-1245
Persistent link: https://www.econbiz.de/10013539502
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Semiparametric model averaging of ultra-high dimensional time series
Chen, Jia; Li, Degui; Linton, Oliver; Lu, Zudi - 2015
and auto-regressors (lags of the response variable). In the first approach, we introduce a Kernel Sure Independence … Screening (KSIS) technique for the nonlinear time series setting which screens out the regressors whose marginal regression (or …
Persistent link: https://www.econbiz.de/10011445777
Saved in:
Cover Image
Semiparametric model averaging of ultra-high dimensional time series
Chen, Jia; Li, Degui; Linton, Oliver; Lu, Zu-di - 2015
and auto-regressors (lags of the response variable). In the first approach, we introduce a Kernel Sure Independence … Screening (KSIS) technique for the nonlinear time series setting which screens out the regressors whose marginal regression (or …
Persistent link: https://www.econbiz.de/10011343005
Saved in:
Cover Image
Semiparametric model averaging of ultra-high dimensional time series
Chen, Jia; Li, Degui; Linton, Oliver; Lu, Zu-di - 2015
Persistent link: https://www.econbiz.de/10011411616
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High-dimensional variable screening and bias in subsequent inference, with an empirical comparison
Bühlmann, Peter; Mandozzi, Jacopo - In: Computational Statistics 29 (2014) 3, pp. 407-430
We review variable selection and variable screening in high-dimensional linear models. Thereby, a major focus is an empirical comparison of various estimation methods with respect to true and false positive selection rates based on 128 different sparse scenarios from semi-real data (real data...
Persistent link: https://www.econbiz.de/10010998445
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Principled sure independence screening for Cox models with ultra-high-dimensional covariates
Zhao, Sihai Dave; Li, Yi - In: Journal of Multivariate Analysis 105 (2012) 1, pp. 397-411
It is rather challenging for current variable selectors to handle situations where the number of covariates under consideration is ultra-high. Consider a motivating clinical trial of the drug bortezomib for the treatment of multiple myeloma, where overall survival and expression levels of 44760...
Persistent link: https://www.econbiz.de/10010572279
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