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Bayesian kernel based classification for financial distress detection · Study

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ArticleBayesian kernel based classification for financial distress detection

Tony Van Gestel2005

Article2005

Bayesian kernel based classification for financial distress detection

Tony Van Gestel · Bart Baesens · Johan A. K. Suykens · Dirk Van den Poel · Dirk-Emma Baestaens · Marleen Willekens

177 citations·0/0 files stored·European Journal of Operational Research

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Financial Distress and Bankruptcy Prediction Corporate Insolvency and Governance Imbalanced Data Classification Techniques

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References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy 1966Financial Ratios As Predictors of Failure 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)2004Human capital, social capital, and innovation: a multi-country study 2003Benchmarking state-of-the-art classification algorithms for credit scoring 2004Spinning out new ventures: a typology of incubation strategies from European research institutions 1994A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks

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2011Combining cluster analysis with classifier ensembles to predict financial distress 2009Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey 2009A hybrid approach of DEA, rough set and support vector machines for business failure prediction 2013Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings 2017

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Details

Year2005

Typearticle

Published2005-01-19

VenueEuropean Journal of Operational Research

ISSN-L0377-2217

Languageen

Citations177

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.ejor.2004.11.009

openalex_workW2105210673

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Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction

2007Measuring and explaining government efficiency in developing countries

2008Credit scoring algorithm based on link analysis ranking with support vector machine

2011Forecasting business failure: The use of nearest-neighbour support vectors and correcting imbalanced samples – Evidence from the Chinese hotel industry