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 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	Driesse, M.B. (2022, March 31). Peer-to-Peer Credit Risk Forecasting: a Deep Hybrid Learning Approach. Business Economics. Retrieved from http://hdl.handle.net/2105/62005

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