Random forest algorithms as feature selection method in macroeconomic forecasting

Additional Metadata
Keywords	Machine learning; Macroeconomic forecasting; regularization; random forest
Thesis Advisor	Naghi, AA
Persistent URL	hdl.handle.net/2105/63124
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Heuij, P.T. van den. (2022, September). Random forest algorithms as feature selection method in macroeconomic forecasting. Econometrie. Retrieved from http://hdl.handle.net/2105/63124

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