Functional Principal Component Anlaysis (FPCA)란 이름 그대로 functional data에 적용하는 PCA 방법 일반적으로 잘 알려져 있는 multivariate PCA는 \(p\)개의 변수를 \(q(\ll p)\)개의 변수로 차원축소(
Outline Introduction The Growth Curve Data The Reduced Rank Model Fitting the Reduced Rank Model The Reduced Rank and Mixed Effects Methods Compared Model Selection and Inference Comparison of the Reduced Rank Method and Classical Principal Components Appendix 1. Introduction The problem If each curves observed different time points, it is not good way to apply method with equal time points. In this paper, present an estimation technique when the