3 papers
stat.ME2025
Local Information for Global Network Estimation in Latent Space Models
Lijia Wang, Xiao Han, Yanhui Wu +1
In many social networks, an individual observes only a restricted local view of the full network structure. We study such local views under a partial information framework that mod…
stat.ME2023
Neyman-Pearson and equal opportunity: when efficiency meets fairness in classification
Jianqing Fan, Xin Tong, Yanhui Wu +2
Organizations often rely on statistical algorithms to make socially and economically impactful decisions. We must address the fairness issues in these important automated decisions…
stat.ME2018
Intentional Control of Type I Error over Unconscious Data Distortion: a Neyman-Pearson Approach to Text Classification
Lucy Xia, Richard Zhao, Yanhui Wu +1
This paper addresses the challenges in classifying textual data obtained from open online platforms, which are vulnerable to distortion. Most existing classification methods minimi…