Unbiased Recursive Partitioning: A Conditional Inference Framework
Recursive binary partitioning is a popular tool for regression analysis. Two fundamental problems of exhaustive search procedures usually applied to fit such models have been known for a long time: Overfitting and a selection bias towards covariates with many possible splits or missing values. While...
| Main Authors: | , , |
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| Format: | Others |
| Language: | en |
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Institut für Statistik und Mathematik, WU Vienna University of Economics and Business
2004
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| Subjects: | |
| Online Access: | http://epub.wu.ac.at/676/1/document.pdf |