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  • Search: subject:"elastic net and non-negative garotte"
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Year of publication
Subject
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Bayesian model averaging 3 Prognoseverfahren 2 bagging 2 boosting 2 elastic net and non-negative garotte 2 least angle regression 2 prediction 2 ridge regression 2 Artificial intelligence 1 Bagging 1 Bayes-Statistik 1 Bayesian inference 1 Boosting 1 Data Mining 1 Data mining 1 Elastic net and non-negative garotte 1 Estimation theory 1 Factor analysis 1 Faktorenanalyse 1 Forecasting model 1 Hauptkomponentenanalyse 1 Independent component analysis 1 Konjunkturprognose 1 Künstliche Intelligenz 1 Least angle regression 1 Prediction 1 Principal component analysis 1 Regression analysis 1 Regressionsanalyse 1 Ridge regression 1 Schätztheorie 1 Sparse principal component analysis 1 Statistische Methode 1 Theorie 1 USA 1 Wirtschaftsprognose 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Book / Working Paper 2 Article 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1 Working Paper 1
Language
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English 2 Undetermined 1
Author
All
Swanson, Norman R. 3 Kim, Hyun Hak 2 Kim, Huyn Hak 1
Institution
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Department of Economics, Rutgers University-New Brunswick 1
Published in...
All
Departmental Working Papers / Department of Economics, Rutgers University-New Brunswick 1 International journal of forecasting 1 Working Paper 1
Source
All
ECONIS (ZBW) 1 EconStor 1 RePEc 1
Showing 1 - 3 of 3
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Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods
Kim, Hyun Hak; Swanson, Norman R. - In: International journal of forecasting 34 (2018) 2, pp. 339-354
Persistent link: https://www.econbiz.de/10012030940
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Forecasting financial and macroeconomic variables using data reduction methods: New empirical evidence
Kim, Hyun Hak; Swanson, Norman R. - 2011
In this paper, we empirically assess the predictive accuracy of a large group of models based on the use of principle components and other shrinkage methods, including Bayesian model averaging and various bagging, boosting, LASSO and related methods Our results suggest that model averaging does...
Persistent link: https://www.econbiz.de/10010282841
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Cover Image
Forecasting Financial and Macroeconomic Variables Using Data Reduction Methods: New Empirical Evidence
Kim, Huyn Hak; Swanson, Norman R. - Department of Economics, Rutgers University-New Brunswick - 2011
In this paper, we empirically assess the predictive accuracy of a large group of models based on the use of principle components and other shrinkage methods, including Bayesian model averaging and various bagging, boosting, LASSO and related methods Our results suggest that model averaging does...
Persistent link: https://www.econbiz.de/10009372767
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