Robust Functional Principal Component Analysis

摘要: When dealing with multivariate data robust principal component analysis (PCA), like classical PCA, searches for directions maximal dispersion of the projected on it. Instead using variance as a measure dispersion, scale estimator s n may be used in maximization problem. In this paper, we review some proposed approaches to functional PCA including one which adapts projection pursuit approach setting.