Standardizing the design allows debiased lasso inference under finite moments, with asymptotic normality proved for two methods and a vanishing approximation error.
Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer.Ann Appl Stat, 4(1):53–77, March 2010
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Debiasing the Lasso under Weaker Tail Assumptions
Standardizing the design allows debiased lasso inference under finite moments, with asymptotic normality proved for two methods and a vanishing approximation error.