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stat.ME2023
Nonlinear Functional Principal Component Analysis Using Neural Networks
Rou Zhong, Chunming Zhang, Jingxiao Zhang
Functional principal component analysis (FPCA) is an important technique for dimension reduction in functional data analysis (FDA). Classical FPCA method is based on the Karhunen-L…
stat.ME2023
Kernel partial least squares regression for functional nonlinear models
Rou Zhong, Dongxue Wang, Jingxiao Zhang
Functional regression is very crucial in functional data analysis and a linear relationship between scalar response and functional predictor is often assumed. However, the linear a…