Discussion highlights the INTACT method for integrating longitudinal data, improving knowledge transfer across sources.
This discussion provides commentary on the paper "INTACT: A method for integration of longitudinal physical activity data from multiple sources" by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou. The authors introduce an FPCA-based approach for integrating information from multiple sources with longitudinal measurements. We focus on the paper's covariance-eigensystem assumptions and discuss how covariance alignment facilitates knowledge integration and transfer in functional and longitudinal settings.
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Lin et al. (2026) studied this question.
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