1 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ME2024★ 1 cited
Covariate Adjustment in Randomized Experiments Motivated by Higher-Order Influence Functions
Sihui Zhao, Xinbo Wang, Lin Liu +1
Higher-Order Influence Functions (HOIF), developed in a series of papers over the past twenty years, are a fundamental theoretical device for constructing rate-optimal causal-effec…
math.ST2023★ 1 cited
Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity
Lin Liu, Xinbo Wang, Yuhao Wang
Treatment effect estimation under unconfoundedness is a fundamental task in causal inference. In response to the challenge of analyzing high-dimensional datasets collected in subst…