35 citations · 35 across the 2 of their papers we have counts for
3 papers
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…
math.ST2012★ 35 cited
Identifying locally optimal designs for nonlinear models: A simple extension with profound consequences
Min Yang, John Stufken
We extend the approach in [Ann. Statist. 38 (2010) 2499-2524] for identifying locally optimal designs for nonlinear models. Conceptually the extension is relatively simple, but the…