John Banasik
2004
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Whom John Banasik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts John Banasik overall
Papers from John Banasik's perspective
Ordered by how strongly the researchers John Banasik trusts endorse each paper. Same corpus, a different order for every researcher.
- Can reject inference ever work
- Credit Scoring and Its Applications (SIAM monographs on mathematical modeling and computation)
- Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture (Journal of Political Economy)
- Max-imum Likelihood from Incomplete Data
- C4.5: Programs for Machine Learning
- THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
- Statistical Classification Methods in Consumer Credit Scoring: a Review
- Classifier Technology and the Illusion of Progress
- Data Analysis Using Stein's Estimator and its Generalizations
- Iterative Reclassification Procedure for Constructing An Asymptotically Optimal Rule of Allocation in Discriminant-Analysis
Their papers
- Does reject inference really improve the performance of application scoring models (2004) — 141 citations