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stat.ME2026
Subdata Selection for Measurement-Constrained Linear Regression under Model Misspecification
Yundi Kong, Min Yang, Ping-Shou Zhong
In many modern applications, obtaining response variables is costly, time-consuming, or technically challenging, making it impractical to measure outcomes for all available units.…
stat.ME2023
Information-based Optimal Subdata Selection for Clusterwise Linear Regression
Yanxi Liu, John Stufken, Min Yang
Mixture-of-Experts models are commonly used when there exist distinct clusters with different relationships between the independent and dependent variables. Fitting such models for…