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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 combin...

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Detalhes bibliográficos
Publicado no:J Am Stat Assoc
Main Authors: STEINGRIMSSON, JON ARNI, DIAO, LIQUN, STRAWDERMAN, ROBERT L.
Formato: Artigo
Idioma:Inglês
Publicado em: 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6561730/
https://ncbi.nlm.nih.gov/pubmed/31190691
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2017.1407775
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