17 citations · 57 across the 9 of their papers we have counts for
Showing 2018Show all
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stat.ME2018★ 9 cited
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…
stat.ME2018★ 7 cited
Neyman-Pearson classification: parametrics and sample size requirement
Xin Tong, Lucy Xia, Jiacheng Wang +1
The Neyman-Pearson (NP) paradigm in binary classification seeks classifiers that achieve a minimal type II error while enforcing the prioritized type I error controlled under some…