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stat.ME2026
Estimation of Functional Principal Components from Sparse Functional Data
Uche Mbaka, Jiguo Cao, Michelle Carey
Sparse functional data arise when measurements are observed infrequently and at irregular time points for each subject, often in the presence of measurement error. These characteri…
stat.ME2026
Locally sparse estimation for simultaneous functional quantile regression
Boyi Hu, Jiguo Cao
Motivated by the study of how daily temperature affects soybean yield, this article proposes a simultaneous functional quantile regression (FQR) model featuring a locally sparse bi…