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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
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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2016
2016
Scaled functional principal component analysis for human motion synthesis
H. Du
,
S. Hosseini
,
M. Manns
,
E. Herrmann
,
K. Fischer
Motion in Games
2016
Corpus ID: 17594299
Many of the existing data-driven human motion synthesis methods rely on statistical modeling of motion capture data. Motion…
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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
Pricing of Idiosyncratic Equity and Variance Risks
Elise Gourier
2016
Corpus ID: 37433621
This paper decomposes the risk premia of individual stocks into contributions from systematic and idiosyncratic risks. I…
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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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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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1999
1999
Stochastic modelling for evolution of stock prices by means of functional principal component analysis
A. M. Aguilera
,
Francisco A. Ocaña
,
M. Valderrama
1999
Corpus ID: 5866559
The objective of this paper is to apply functional principal component analysis to model and forecast financial prices of the…
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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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