Fremdt, Stefan; Horváth, Lajos; Kokoszka, Piotr; … - In: Journal of Multivariate Analysis 124 (2014) C, pp. 313-332
Functional principal components (FPC’s) provide the most important and most extensively used tool for dimension reduction and inference for functional data. The selection of the number, d, of the FPC’s to be used in a specific procedure has attracted a fair amount of attention, and a number...