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Showing 1 to 5 of 5 for “"Reject inference"”.
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A Study of Reject Inference Techniques
… not be available for those applicants who were "rejected." Theuse of reject inference to adjust credit scorecard models for the missing data representedby rejected loan applications is common practice, and several approaches are used intoday's financial industry.The use of mixture models presents …
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Statistical aspects of credit scoring
… In Chapter 6 we consider different approaches to reject inference, the procedure of allocating class membership probabilities to the rejects. One reason for needing reject inference is to reduce the sample selection bias that results from using a sample consisting only of accepted applicants to …
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Survival of the fittest Small and Medium Enterprises: Accessing commercial bank funding in South Africa
… of an application scorecard is enhanced by reject inference and the inclusion of bureau information. Small businesses operating in the service sector and having a long-standing rapport with the bank can easily access commercial bank funding. SMEs in the construction industry with a high …
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Some Advances in Classifying and Modeling Complex Data
… accordingly. Specifically, I considered the "reject inference problem'' for the application of fraud detection for online business. For online business, to prevent fraud transactions, suspicious transactions are rejected with unknown fraud status, yielding a training data with selective …
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Szelekciós torzítás és csökkentése az adósminősítési modelleknél
… a jelenséget nevezzük elutasítási torzításnak (reject bias), vagy általánosabban szelekciós torzításnak. A dilemmára az elutasítottak jellemzőinek felhasználásával történő modellépítés (reject inference) jelenthet választ. Ez tulajdonképpen annak becslése, hogy hogyan viselkedett volna az …