3 papers
stat.ME2026
Transfer learning for functional linear regression via control variates
Yuping Yang, Zhiyang Zhou
Transfer learning (TL) has emerged as a powerful tool for improving estimation and prediction performance by leveraging information from related datasets, with the offset TL (O-TL)…
stat.ME2020
Fast implementation of partial least squares for function-on-function regression
Zhiyang Zhou
People employ the function-on-function regression to model the relationship between two random curves. Fitting this model, widely used strategies include algorithms falling into th…
stat.ME2020
Partial least squares for sparsely observed curves with measurement errors
Zhiyang Zhou, Richard A. Lockhart
Functional partial least squares (FPLS) is commonly used for fitting scalar-on-function regression models. For the sake of accuracy, FPLS demands that each realization of the funct…