3 citations · 3 across the 1 of their papers we have counts for
2 papers
stat.ME2024
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
Masahiro Kato
This study investigates the estimation and the statistical inference about Conditional Average Treatment Effects (CATEs), which have garnered attention as a metric representing ind…
econ.EM2023★ 3 cited
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression
Masahiro Kato, Masaaki Imaizumi
In causal inference about two treatments, Conditional Average Treatment Effects (CATEs) play an important role as a quantity representing an individualized causal effect, defined a…