Functional Mixed Effects Models

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Functional Regression (2014, unknown): “Notes: [1] These between-function correlations cannot be induced by curve-level random effects, i.e. if all random effect functions are indexed by curve, Uihl(t), which is an important distinction between model (10) and the type of functional mixed effect model introduced in Guo (2002).”
Linguistic pitch analysis using functional principal component mixed effect models (2010, unknown): “Several basis function methods have been proposed to account for mixed effects including those based on either smoothing spline approaches (Guo, 2002) or wavelet-based approaches (Morris and Carroll, 2006).”
Induction of a Striking Systemic Cytokine Cascade prior to Peak Viremia in Acute Human Immunodeficiency Virus Type 1 Infection, in Contrast to More Modest and Delayed Responses in Acute Hepatitis B and C Virus Infections (2009, methodology): “Subject-specific curve estimates were predicted by functional mixed-effects models ( 22 ).”
On rates of convergence in functional linear regression (2007, background): “There is sizeable literature on smoothing a group of curves, for example Brumback and Rice [2], Guo [10], Ruppert et al. [18].”