4 papers
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…
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…
Generalized functional linear regression models with a mixture of complex function-valued and scalar-valued covariates prone to measurement error
Yuanyuan Luan, Roger S. Zoh, Sneha Jadhav +2
While extensive work has been done to correct for biases due to measurement error in scalar-valued covariates prone to errors in generalized linear regression models, limited work…
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…