Buckley-James boosting model based on extreme learning machine and random survival forests

DOI10.1002/bimj.202200153zbMATH Open1541.62305MaRDI QIDQ6563673

Jianfen Kong, Shouhong Zhang

Publication date: 27 June 2024

Published in: Biometrical Journal (Search for Journal in Brave)

zbMATH Keywords

survival analysisextreme learning machineensemble learningrandom survival forestsBuckley-James model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)

Cites Work

• Title not available (Why is that?)
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• Greedy function approximation: A gradient boosting machine.
• Random survival forests
• Boosting algorithms: regularization, prediction and model fitting
• Buckley-James boosting for survival analysis with high-dimensional biomarker data
• Linear regression with censored data
• Linear rank tests with right censored data
• Survival Analysis with Median Regression Models
• Prediction Games and Arcing Algorithms

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