Analyzing Functional Data with a Mixture of Covariance Structures Using a Curve-Based Sampling Scheme
基于曲线抽样方案的协方差结构混合函数数据分析
Motivated by distinct walking patterns in real-world free-living gait data, this paper proposes an innovative curve-based sampling scheme for the analysis of functional data characterized by a mixture of covariance structures. Traditional approaches often fail to adequately capture inherent complexities arising from heterogeneous covariance patterns across distinct subsets of the data. We introduce a unified Bayesian framework that integrates a nonlinear regression function…