A novel sparse LFPCA method is introduced for analyzing sparsely observed functional data and applied to typing speed trajectories from the Intern Health Study to identify participant- and day-level patterns in mental fatigue.
arXiv preprint arXiv:2503.21913 , year=
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Sparse Longitudinal Functional Principal Component Analysis for Episodic Ambulatory Behavioral Assessments
A novel sparse LFPCA method is introduced for analyzing sparsely observed functional data and applied to typing speed trajectories from the Intern Health Study to identify participant- and day-level patterns in mental fatigue.