A hybrid approach of extreme gradient boosting and random forest to nowcast US GDP

Additional Metadata
Keywords	XGBoost; Random Forest; US GDP; Hybrid approach; Nowcasting
Thesis Advisor	Pick, A
Persistent URL	hdl.handle.net/2105/62057
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	Kamp, R.A. van de. (2022, June 8). A hybrid approach of extreme gradient boosting and random forest to nowcast US GDP. Econometrie. Retrieved from http://hdl.handle.net/2105/62057

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