Bayesian logistic regression models for credit scoring
The Bayesian approach to logistic regression modelling for credit scoring is useful when there are data quantity issues. Data quantity issues might occur when a bank is opening in a new location or there is change in the scoring procedure. Making use of prior information (available from the coeffici...
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Format: | Others |
Language: | English |
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Rhodes University
2011
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Online Access: | http://hdl.handle.net/10962/d1005538 |