1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2025
SLOPE and Designing Robust Studies for Generalization
Xinran Miao, Jiwei Zhao, Hyunseung Kang
A popular task in generalization is to learn about a new, target population based on data from an existing, source population. This task relies on conditional exchangeability, whic…
stat.AP2024
Transporting causal effects from a randomized trial without "transportability:" a case study of political advertising during U.S. elections
Xinran Miao, Jiwei Zhao, Hyunseung Kang
During the 2020 U.S. presidential election, Aggarwal et al. (2023) conducted a large-scale randomized experiment to evaluate a digital ad campaign against Trump in five battlegroun…
stat.ME2023★ 1 cited
Assumption-Lean and Data-Adaptive Post-Prediction Inference
Jiacheng Miao, Xinran Miao, Yixuan Wu +2
A primary challenge facing modern scientific research is the limited availability of gold-standard data which can be costly, labor-intensive, or invasive to obtain. With the rapid…