On the Validity of the Pairs Bootstrap for Lasso Estimators

Lorenzo Camponovo
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引用次数: 26

Abstract

We study the validity of the pairs bootstrap for lasso estimators in linear regression models with random covariates and heteroscedastic error terms. We show that the naive pairs bootstrap does not provide a valid method for approximating the distribution of the lasso estimator. To overcome this deficiency, we introduce a modified pairs bootstrap procedure and prove its consistency. Finally, we consider the adaptive lasso and show that the modified pairs bootstrap consistently estimates the distribution of the adaptive lasso estimator.
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Lasso估计对自举的有效性
本文研究了随机协变量和异方差误差项线性回归模型中套索估计的对自举的有效性。我们证明了朴素对自举法并不能提供一种有效的近似lasso估计量分布的方法。为了克服这一缺陷,我们引入了一个改进的对自举过程,并证明了它的一致性。最后,我们考虑了自适应套索,并证明了改进的对自举法一致地估计了自适应套索估计量的分布。
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