Anmelden
Einblick - 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.
Produkte
© 2024 by Linnk AI