Investigating potential improvement of parsimonious factor analysis with machine learning, principal component variations and regularization.

Additional Metadata
Keywords	Prediction - Boosting - Elastic Net - Independent component analysis - Sparse component analysis - Mean model combinations
Thesis Advisor	Franses, PHBF
Persistent URL	hdl.handle.net/2105/59825
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	Lee, K.L. (2021, November 4). Investigating potential improvement of parsimonious factor analysis with machine learning, principal component variations and regularization.. Econometrie. Retrieved from http://hdl.handle.net/2105/59825

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