Year: 2024
Type: article
Abstract: We consider two generalizations of the area under the receiving operating characteristic curve ("AUC"), a popular measure of discrimination, to accommodate clustered data.We describe situations in which the two cluster AUCs diverge and other situations in which they coincide.Differences are described using concrete models and visualizations, while quantitative results are used to relate the two generalizations.Procedures for joint estimation and inference are also presented, along with a simulation study.We apply the results to data collected on urban policing behavior.
Source: Statistica Sinica
Authors: Haben Michael, Lu Tian
Institutions: University of Massachusetts System, Stanford University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4404126697
