Enhancing the Forest: A Study on Variable Selection Methods for the Targeted Random Forest

Additional Metadata
Keywords	Machine learning; Macroeconomic forecasting; Regularization; Variable selection; Random forest
Thesis Advisor	O'Neill, EP
Persistent URL	hdl.handle.net/2105/67621
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	Chen, D. (2023, September 13). Enhancing the Forest: A Study on Variable Selection Methods for the Targeted Random Forest. Econometrie. Retrieved from http://hdl.handle.net/2105/67621

Publication