1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2025
MUSE: Multi-Treatment Experiment Design for Winner Selection and Effect Estimation
Jiachen Xu, Jian Qian, Zijun Gao
We study the design of experiments with multiple treatment levels, a setting common in clinical trials and online A/B/n testing. Unlike single-treatment studies, practical analyses…
cs.RO2024★ 1 cited
Deep Learning Powered Estimate of The Extrinsic Parameters on Unmanned Surface Vehicles
Yi Shen, Hao Liu, Chang Zhou +3
Unmanned Surface Vehicles (USVs) are pivotal in marine exploration, but their sensors' accuracy is compromised by the dynamic marine environment. Traditional calibration methods fa…
stat.ME2023
Adaptive Storey's null proportion estimator
Zijun Gao
False discovery rate (FDR) is a commonly used criterion in multiple testing and the Benjamini-Hochberg (BH) procedure is arguably the most popular approach with FDR guarantee. To i…