3 papers
stat.ME2024
Clustering functional data with measurement errors: a simulation-based approach
Tingyu Zhu, Lan Xue, Carmen Tekwe +3
Clustering analysis of functional data, which comprises observations that evolve continuously over time or space, has gained increasing attention across various scientific discipli…
stat.ME2024
Scalable regression calibration approaches to correcting measurement error in multi-level generalized functional linear regression models with heteroscedastic measurement errors
Yuanyuan Luan, Roger S. Zoh, Erjia Cui +3
Wearable devices permit the continuous monitoring of biological processes, such as blood glucose metabolism, and behavior, such as sleep quality and physical activity. The continuo…
stat.ME2024
Adjusting for bias due to measurement error in functional quantile regression models with error-prone functional and scalar covariates
Xiwei Chen, Yuanyuan Luan, Roger S. Zoh +3
Wearable devices enable the continuous monitoring of physical activity (PA) but generate complex functional data with poorly characterized errors. Most work on functional data view…