Penalized semiparametric Cox regression model on XGBoost and random survival forests
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Publication:6073566
DOI10.1080/03610918.2021.1926505OpenAlexW3162690441MaRDI QIDQ6073566
Yating Wang, Xuejing Zhao, Jinxia Su
Publication date: 18 September 2023
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2021.1926505
Cites Work
- Random survival forests
- Boosting in Cox regression: a comparison between the likelihood-based and the model-based approaches with focus on the R-packages \textit{CoxBoost} and \textit{mboost}
- Regularization and Variable Selection Via the Elastic Net
- Variable selection for semiparametric proportional hazards model under progressive Type-II censoring
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