The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions

Two-way functional data consist of a data matrix whose row and column domains are both structured, for example, temporally or spatially, as when the data are time series collected at different locations in space. We extend one-way functional principal component analysis (PCA) to two-way functional d...

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Veröffentlicht in:	Journal of the American Statistical Association 2009-12, Vol.104 (488), p.1609-1620
Hauptverfasser:	Huang, Jianhua Z., Shen, Haipeng, Buja, Andreas
Format:	Artikel
Sprache:	eng
Schlagworte:	Age specific mortality rates Applications Approximation Basis expansion Correlations Data analysis Data smoothing Exact sciences and technology Fines & penalties Functional analysis Functional data analysis General topics Hierarchies Inference from stochastic processes time series analysis Mathematical analysis Mathematical vectors Mathematics Matrices Modeling Modelling Mortality Penalization Principal components analysis Probability and statistics Regularization Regularization methods Regulation Sciences and techniques of general use Space Spatial-temporal modeling Statistical methods Statistics Theory and Methods Time series Variance
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