Generalized varying coefficient models for longitudinal data

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Generalized Gaussian Process Regression Model for Non-Gaussian Functional Data (2014, methodology): “…the problem; examples include dimension-reduction methods, the additive model (see, e.g., Hastie and Tibshirani 1990), varyingcoefficient model (see, e.g., Fan and Zhang 2000; Fan et al. 2003; Şentürk and Müller 2008), and the neural network model (see, e.g., Cheng and Titterington 1994).”
Functional Data Analysis (2016, methodology): “For the case of the varying coeﬃcient model and sparse functional data this has been investigated in S¸ent¨urk & M¨uller (2008) for the generalized varying coeﬃcient model and for model (15) and dense functional data in James & Silverman (2005) for a ﬁnite number of expansion coeﬃcients for each…”