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» Reject inference, augmentation, and sample selection
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EOR
2007
85views more  EOR 2007»
13 years 4 months ago
Reject inference, augmentation, and sample selection
Many researchers see the need for reject inference in credit scoring models to come from a sample selection problem whereby a missing variable results in omitted variable bias. Al...
John Banasik, Jonathan Crook
BMCBI
2008
109views more  BMCBI 2008»
13 years 4 months ago
MetaFIND: A feature analysis tool for metabolomics data
Background: Metabolomics, or metabonomics, refers to the quantitative analysis of all metabolites present within a biological sample and is generally carried out using NMR spectro...
Kenneth Bryan, Lorraine Brennan, Padraig Cunningha...
ATAL
2006
Springer
13 years 8 months ago
Predicting people's bidding behavior in negotiation
This paper presents a statistical learning approach to predicting people's bidding behavior in negotiation. Our study consists of multiple 2-player negotiation scenarios wher...
Ya'akov Gal, Avi Pfeffer