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Bayesian kernel based classification for financial distress detection

2005178 citationsJournal Article

Authors

Tony Van Gestel · KU Leuven

Bart Baesens · KU Leuven

Johan A. K. Suykens · KU Leuven

Dirk Van den Poel · Ghent University

Dirk-Emma Baestaens · National Bank of Belgium

Marleen Willekens · KU Leuven

Topics & Keywords

Financial Distress and Bankruptcy Prediction Imbalanced Data Classification Techniques Credit Risk and Financial Regulations

UN Sustainable Development Goals

Peace, Justice and strong institutionsReduced inequalities

Publication Details

Published in: European Journal of Operational Research

Volume 172, Issue 3, pp. 979-1003

DOI: 10.1016/j.ejor.2004.11.009

Field-Weighted Citation Impact: 20.38

Bayesian kernel based classification for financial distress detection | Researchclopedia