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stat.ME2024
Spatial function-on-function regression
Ufuk Beyaztas, Han Lin Shang, Gizel Bakicierler Sezer +3
We introduce a spatial function-on-function regression model to capture spatial dependencies in functional data by integrating spatial autoregressive techniques with functional pri…
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
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…