4 papers
Sparse Longitudinal Functional Principal Component Analysis for Episodic Ambulatory Behavioral Assessments
Nidhi Pai, Yu Fang, Srijan Sen +2
Accurately monitoring mental fatigue is critical for improving workplace safety and productivity. A recent study examined unobtrusively collected smartphone typing speed as a poten…
Quantifying Time-Varying Physical Activity Intervention Effects via Functional Regression
Nidhi Pai, Yu Lu, Kristin A. Linn +1
Physical activity (PA) intervention studies often collect repeated intensity measurements over long observation periods. Quantifying the variation in intervention effects over the…
BAMIFun: Bayesian Multiple Imputation for Functional Data
Ziren Jiang, Lei Xuan, Eric F. Lock +1
Missing data are pervasive in modern functional datasets, where trajectories are often sparsely or irregularly observed. Although Functional Principal Component Analysis (FPCA) is…
Efficient Longitudinal Function-on-Function Regression
Leif Verace, Siobhan McMahon, Erjia Cui
We propose a computationally efficient inferential procedure for longitudinal function-on-function regression. The method follows a marginal three-step approach: (1) fit massive po…