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Erschienen in:
1998 | ReviewPaper | Buchkapitel
Bayesian classification trees with overlapping leaves applied to credit-scoring
verfasst von : Gerhard Paass, Jörg Kindermann
Erschienen in: Research and Development in Knowledge Discovery and Data Mining
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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We develop a Bayesian procedure for classification with trees by switching between different model structures. For classification trees with overlap we use a Markov chain Monte Carlo procedure to produce an ensemble of trees which allow the assessment of prediction uncertainty and the value of new information. The approach is applied to a large credit scoring application.