Censoring Unbiased Regression Trees and Ensembles
Censoring Unbiased Regression Trees and Ensembles
This paper proposes a novel paradigm for building regression trees and ensemble learning in survival analysis. Generalizations of the CART and Random Forests algorithms for general loss functions, and in the latter case more general bootstrap procedures, are both introduced. These results, in combination with an extension of the theory …