Berkes, István; Gabrys, Robertas; Horváth, Lajos; … - In: Journal of the Royal Statistical Society Series B 71 (2009) 5, pp. 927-946
Principal component analysis has become a fundamental tool of functional data analysis. It represents the functional data as "X"<sub>"i"</sub>("t")="μ"("t")+Σ<sub>1≤"l"&infin ;</sub>"η"<sub>"i", "l"</sub>+ "v"<sub>"l"</sub>("t "), where "μ" is the common mean, "v"<sub>"l"</sub> are the eigenfunctions of the covariance operator and the...</sub>
