2 citations · 3 across the 3 of their papers we have counts for
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stat.ME2025
Envelope-based partial least squares in functional regression
Minxuan Wu, Joseph Antonelli, Zhihua Su
In this article, we extend predictor envelope models to settings with multivariate outcomes and multiple, functional predictors. We propose a two-step estimation strategy, which fi…
stat.ME2024★ 1 cited
Partial identification of principal causal effects under violations of principal ignorability
Minxuan Wu, Joseph Antonelli
Principal stratification is a general framework for studying causal mechanisms involving post-treatment variables. When estimating principal causal effects, the principal ignorabil…
stat.ME2023★ 2 cited
Principal stratification with continuous treatments and continuous post-treatment variables
Joseph Antonelli, Minxuan Wu, Fabrizia Mealli +2
Principal stratification (PS) is a commonly used approach for understanding the mechanisms through which a treatment affects an outcome. The goal of this work is to extend the PS f…