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Functional principal component analysis
Functional principal component analysis (FPCA) is a statistical method for investigating the dominant modes of variation of functional data. Using…
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Related topics
Related topics
8 relations
Dimensionality reduction
Factor analysis
Functional data analysis
Hilbert space
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Functional Principal Component Analysis of GFR Curves after Kidney Transplant
J. Dong
,
Liangliang Wang
,
Jiguo Cao
,
J. Gill
2017
Corpus ID: 53679058
This article is motivated by some longitudinal clinical data of kidney transplant recipients, where kidney function progression…
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2017
2017
Spatio-temporal processes for functional data with application in climate monitoring
F. Ndongo
2017
Corpus ID: 54726811
The underlying idea of this thesis is to move from a spatio-temporal process to a functional spatio-temporal process. In order to…
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2016
2016
The evolution of firm-level distributions for Ukrainian manufacturing firms
Kim P. Huynh
,
David T. Jacho-Chávez
,
Oleksiy Kryvtsov
,
Oleksandr Shepotylo
,
V. Vakhitov
2016
Corpus ID: 55906810
2016
2016
Joint Angle Data Representation for Data Driven Human Motion Synthesis
H. Du
,
M. Manns
,
E. Herrmann
,
K. Fischer
2016
Corpus ID: 63936223
2014
2014
Functional Principal Components Analysis of Spatially Correlated Data
Chong Liu
,
Surajit Ray
,
G. Hooker
2014
Corpus ID: 19471718
This paper focuses on the analysis of spatially correlated functional data. The between-curve correlation is modeled by…
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2014
2014
APPLICATIONS OF FUNCTIONAL DATA ANALYSIS IN SPORT BIOMECHANICS
A. Harrison
2014
Corpus ID: 59152579
This paper reconsiders the challenge of analysing coordination in human movement with particular emphasis on the application of…
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2013
2013
A kernel version of functional principal component analysis
Tomasz Górecki
,
M. Krzyśko
Statistics in Transition New Series
2013
Corpus ID: 117815903
In this paper a new construction of functional principal components (FPCA) is proposed, based on principal components for vector…
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2013
2013
Arm gesture recognition and humanoid imitation using functional principal component analysis
J. Aleotti
,
A. Cionini
,
L. Fontanili
,
S. Caselli
IEEE/RSJ International Conference on Intelligent…
2013
Corpus ID: 14433339
A method is proposed for gesture recognition and humanoid imitation based on Functional Principal Component Analysis (FPCA). FPCA…
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2005
2005
Sensitivity analysis in functional principal component analysis
Yoshihiro Yamanishi
,
Y. Tanaka
Computational statistics (Zeitschrift)
2005
Corpus ID: 13724815
SummaryIn the present paper empirical influence functions (EIFs) are derived for eigenvalues and eigenfunctions in functional…
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Review
1998
Review
1998
A Wavelet Approach to Functional Principal Component Analysis
Francisco A. Ocaña
,
O. Valenzuela
,
A. M. Aguilera
International Conference on Computational…
1998
Corpus ID: 117108146
The aim of this paper is to approximate the estimates in the principal component analysis of a continuous time stochastic process…
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