竞争风险下共形校准何时需要删失权重

1. 12:00
   arXiv · Statistics Machine Learning

   竞争风险下的失效原因预测集：何时需要删失权重？

   竞争风险标签的 split conformal 预测集在校准时可能因右删失而缺失标签。仿真显示，22% 受试者在目标时点无事件时，complete-case 校准在名义 0.900 覆盖率下仅达 0.8723；正确设定的删失模型权重可让覆盖率接近名义水平。论文还给出含删失模型误差惩罚的有限样本覆盖率下界。

Current heat 9·Comparable peak 10（Oct 7）·Comparable change over 24 hours –

The trend compares only the same participants observed continuously; its range may be smaller than the current heat count. Move or click on the chart to inspect hourly heat; use the left and right arrow keys to switch.