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洞見 - CATE Estimation Methodology
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
Estimating Conditional Average Treatment Effects (CATEs) using Triple/Debiased Lasso methodology.
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
This study introduces the Triple/Debiased Lasso (TDL) estimator for consistent estimation and statistical inference of Conditional Average Treatment Effects (CATEs) without directly assuming sparsity in high-dimensional linear regression models.
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