Investigating Non-Linear Machine Learning Methods for Inflation Forecasting in a Data-Rich Environment

Additional Metadata
Keywords	Inflation Forecasting; Long Short-Term Memory; Random Forest; Machine Learning
Thesis Advisor	O'Neill, E.P.
Persistent URL	hdl.handle.net/2105/60044
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	Nagelkerken, R.J. (2021, November 4). Investigating Non-Linear Machine Learning Methods for Inflation Forecasting in a Data-Rich Environment. Econometrie. Retrieved from http://hdl.handle.net/2105/60044

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