A0738
Title: Enhanced functional data alignment with exogenous variables
Authors: Wenlin Dai - Renmin University of China (China) [presenting]
Abstract: The alignment of functional data has been a topic of significant interest in research. The alignment of functional data is addressed while considering the temporal dependence between sample curves. Meanwhile, the warping functions are modeled as the function of exogenous variables, e.g., time of record. Numerical simulations showcase the superiority of the approach, and the validation of actual LOFAR graph data further confirms the effectiveness of the proposed method. The results highlight the importance of incorporating exogenous variables in functional data alignment and the potential applications of this method in various fields.
