Analysis of discretely sampled functional data based on robust estimation of dispersion. KU Leuven
Estimating dispersion is a central problem in functional/longitudinal data analysis, yet most current estimation procedures either unrealistically assume completely observed trajectories or lack robustness with respect to the many kinds of anomalies one can encounter in the functional setting. To remedy these deficiencies we introduce a family of resistant dispersion estimators from discretely sampled functional data. The proposed method ...