A survey of functional principal component analysis

Author:

Shang Han Lin

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Economics and Econometrics,Social Sciences (miscellaneous),Modelling and Simulation,Statistics and Probability,Analysis

Reference138 articles.

1. Aggarwal, C.C., Hinneburg, A., Keim, D.A.: On the surprising behavior of distance metrics in high dimensional space. In: Van den Bussche, J., Vianu, V. (eds.) Lecture Notes in Computer Science, pp. 420–434. Springer, London (2001)

2. Aguilera, A.M., Gutiérrez, R., Valderrama, M.J.: Approximation of estimators in the PCA of a stochastic process using B-splines. Commun. Stat. Simul. Comput. 25(3), 671–690 (1996)

3. Akhiezer, N.I., Glazman, I.M.: Theory of Linear Operators in Hilbert Space, vol. I. Pitman Advanced Publishing Program, Boston (1981)

4. Aneiros-Pérez, G., Vieu, P.: Nonparametric time series prediction: a semi-functional partial linear modeling. J. Multivariate Anal. 99(5), 834–857 (2008)

5. Arabie, P., Hubert, L.: Cluster analysis in marketing research. In: Advanced Methods of Marketing Research. Blackwell Business, Cambridge, pp. 160–189 (1994)

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