Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
8.6 Further readings and notes
Abraham, C., Cornillion, P. A., Matzner-Lober, E. and Molinari, N. (2003) Unsupervised curve-clustering using b-splines. Scandinavian Journal of Statistics, 30, 581–595.
Besse, P., Cardot, H. and Ferraty, F. (1997). Simultaneous nonparametric regressions of unbalanced longitudinal data. Computational Statistics and Data Analysis, 24, 255–270.
Cardot, H. (2004) Nonparametric estimation of smoothed principal components analysis of sampled noisy functions. Journal of Nonparametric Statistics, to appear.
James, G. M. and Sugar, C. A. (2003) Clustering sparsely sampled functional data. Journal of the Americal Statistical Association, 98, 397–408.
James, G. M., Hastie, T. J. and Sugar, C. A. (2000) Principal component models for sparse functional data, Biometrika, 87, 587–602.
Kneip, A. and Utikal, K. J. (2001) Inference for density families using functional principal components analysis. Journal of the Americal Statistical Association, 96, 519–542.
Liggett, W., Cazares, L. and Semmes, O. J. (2003) A look at mass spectral measurement. Chance, 16, 24–28.
Locantore, N., Marron, J. S., Simpson, D. G., Tripoli, N., Zhang, J. T. and Cohen, K. L. (1999) Robust principal component analysis for functional data. Test, 8, 1–73.
Ocaña, F. A., Aguilera, A. M. and Valderrama, M. J. (1999) Functional principal components analysis by choice of norm. Journal of Multivariate Analysis, 71, 262–276.
Tarpey, T. and Kinateder, K. K. J. (2003) Clustering functional data. Journal of Classification, 20, 93–114.
Valderrama, M. J., Aguilera, A. M. and Ocaña, F. A. (2000) Predicción Dinámica Mediante Análisis de Datos Funcionales. Madrid: Hespérides.
Viviani, R., Grön, G. and Spitzer, M. (2005) Human Brain Mapping, 24, 109–129.
Yao, F., Müller, H.-G. and Wang, J.-L. (2004) Functional data analysis for sparse longitudinal data. Journal of the American Statistical Association, to appear.
Rights and permissions
Copyright information
© 2005 Springer Science+Business Media, Inc.
About this chapter
Cite this chapter
(2005). Principal components analysis for functional data. In: Functional Data Analysis. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/0-387-22751-2_8
Download citation
DOI: https://doi.org/10.1007/0-387-22751-2_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-40080-8
Online ISBN: 978-0-387-22751-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)