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Motivated by applications of mixed longitudinal studies, where a group of subjects entering the study at different ages (cross-sectional) are followed for successive years (longitudinal), we consider nonparametric covariance estimation with samples of noisy and partially-observed functional trajectories. The proposed algorithm is based on a sequential-aggregation scheme, which is noniterative, with only basic matrix operations and closed-form solutions in each step. The good performance of thedoi:10.5705/ss.202019.0219 fatcat:dwbp6764kffnharzr6i73sebvq