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Title: Fixed-effects inference for longitudinal functional data Authors:  Ruonan Li - North Carolina State University (United States) [presenting]
Abstract: An inferential framework is proposed for fixed effects in longitudinal functional models and introduce tests for the correlation structures induced by sampling procedure. This provides a natural extension of standard longitudinal correlation models for scalar observations to functional observations. We compare fixed effects estimation under correctly and incorrectly specified correlation structures and provide explicit recommendations. The proposed methods are applied to the Baltimore Longitudinal Study of Aging (BLSA) to study the effects of age, sex and body mass index on the circadian rhythm of physical activity.