Estimation procedures of using five alternative machine learning methods for predicting credit card default
Year of publication: |
2019
|
---|---|
Authors: | Teng, Huei-Wen ; Lee, Michael |
Published in: |
Review of Pacific Basin financial markets and policies. - Hackensack, NJ [u.a.] : World Scientific, ISSN 0219-0915, ZDB-ID 1465471-4. - Vol. 22.2019, 3, p. 1950021-1-1950021-27
|
Subject: | Artificial intelligence | machine learning | supervised learning | k-nearest neighbors, decision tree | booting | support vector machine | neural network | Python | delinquency | default | credit card | credit risk | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Kreditkarte | Credit card | Kreditrisiko | Credit risk | Neuronale Netze | Neural networks | Mustererkennung | Pattern recognition | Kreditwürdigkeit | Credit rating |
-
Peer-to-peer lending default prediction model : a credit scoring application with social media data
Faturohman, Taufik, (2024)
-
Machine learning-based classifiers ensemble for credit risk assessment
Pandey, Trilok Nath, (2013)
-
Golbayani, Parisa, (2020)
- More ...
-
BAYESIAN MIXTURE MODELS FOR DENSITY ESTIMATION
Teng, Huei-Wen, (2011)
-
Unbiased and efficient Greeks of financial options
Lyuu, Yuh-dauh, (2011)
-
State price densities implied from weather derivatives
Härdle, Wolfgang, (2015)
- More ...