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Extensions of stability selection using subsamples of observations and covariates

机译:使用观测值和协变量的子样本扩展稳定性选择

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摘要

We introduce extensions of stability selection, a method to stabilise variable selection methods introduced by Meinshausen and Buhlmann (J R Stat Soc 72:417-473, 2010). We propose to apply a base selection method repeatedly to random subsamples of observations and subsets of covariates under scrutiny, and to select covariates based on their selection frequency. We analyse the effects and benefits of these extensions. Our analysis generalizes the theoretical results of Meinshausen and Buhlmann (J R Stat Soc 72:417-473, 2010) from the case of half-samples to subsamples of arbitrary size. We study, in a theoretical manner, the effect of taking random covariate subsets using a simplified score model. Finally we validate these extensions on numerical experiments on both synthetic and real datasets, and compare the obtained results in detail to the original stability selection method.
机译:我们介绍了稳定性选择的扩展,这是一种由Meinshausen和Buhlmann引入的稳定变量选择方法的方法(J R Stat Soc 72:417-473,2010)。我们提议将基础选择方法重复应用于观察下的随机子样本和协变量的子集,并根据其选择频率选择协变量。我们分析了这些扩展的效果和好处。我们的分析概括了Meinshausen和Buhlmann的理论结果(J R Stat Soc 72:417-473,2010),从半样本到任意大小的子样本。我们以理论的方式研究使用简化评分模型获取随机协变量子集的影响。最后,我们在合成数据集和真实数据集上的数值实验中验证了这些扩展,并将获得的结果与原始稳定性选择方法进行了详细比较。

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