Peer-to-Peer Credit Risk Forecasting: a Deep Hybrid Learning Approach

Additional Metadata
Keywords	Machine Learning; Deep Hybrid Learning; Recursive Feature Elimination; Neural Network; Perceptron; Credit Default Risk; Credit Scoring; Information Asymmetry; Peer-to-Peer Lending; Bondora; FinTech
Thesis Advisor	Quaedvlieg, R
Persistent URL	hdl.handle.net/2105/62005
Series	Business Economics
Organisation	Erasmus School of Economics
Citation APA APA Style APA-ALL Style AAA 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	Driesse, M.B. (2022). Peer-to-Peer Credit Risk Forecasting: a Deep Hybrid Learning Approach. In Business Economics.http://hdl.handle.net/2105/62005

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