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Updated: Jun 19, 2026

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Published on: September 16, 2022

高维考克斯比例危险模型中的高效后收缩估计策略

Syed Ejaz Ahmed1, Reza Arabi Belaghi2, Abdulkhadir Ahmed Hussein3

  • 1Department of Mathematics and Statistics, Brock University, St. Catharines, ON L2S 3A1, Canada.

Entropy (Basel, Switzerland)
|March 28, 2025
PubMed
概括

这项研究为生存数据引入了新的收缩估计器,通过包括LASSO等传统方法经常错过的弱信号来改进变量选择. 该方法提高了考克斯模型中的估计和预测准确性.

关键词:
考克斯的比例危险模型.拉索·拉索 (Lasso) 是一个高维数据的高维数据.收缩估计估计的时间.稀疏的模型稀疏的模型选择变量的选择变量.

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