4 papers · 1 filter
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…
PCA score regression: the art of losing power
Yu Lu, Nidhi Pai, Erjia Cui +1
The regression of principal component scores (RPCS) on covariates is a widely used analytic approach to detect and test for associations between functional measurements and study p…
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…