Results 21 to 30 of about 300,116 (259)
Conditional Functional Principal Components Analysis [PDF]
Scandinavian Journal of Statistics, 2006 Abstract. This work proposes an extension of the functional principal components analysis (FPCA) or Karhunen–Loève expansion, which can take into account non‐parametrically the effects of an additional covariate. Such models can also be interpreted as non‐parametric mixed effect models for functional data.
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Parametric Functional Principal Component Analysis
Biometrics, 2017 Summary Functional principal component analysis (FPCA) is a popular approach in functional data analysis to explore major sources of variation in a sample of random curves. These major sources of variation are represented by functional principal components (FPCs).
Sang, Peijun +2 more
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Mathematics, 2023 This work focuses on functional data presenting spatial dependence. The spatial autocorrelation of stock exchange returns for 71 stock exchanges from 69 countries was investigated using the functional Moran’s I statistic, classical principal component ...
Tzung Hsuen Khoo +2 more
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Computational considerations in functional principal component analysis [PDF]
Computational Statistics, 2007 A general technique of functional principal component analysis (FPCA) is considered from the Hilbert space geometry point of view. Special attention is paid to the equivalence of PCA with different norms and PCA with preliminary transformed data.
Francisco A. Ocaña +2 more
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Local Functional Principal Component Analysis [PDF]
Complex Analysis and Operator Theory, 2007 Covariance operators of random functions are crucial tools to study the way random elements concentrate over their support. The principal component analysis of a random function X is well-known from a theoretical viewpoint and extensively used in practical situations. In this work we focus on local covariance operators.
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Functional principal component analysis of fMRI data [PDF]
Human Brain Mapping, 2004 AbstractWe describe a principal component analysis (PCA) method for functional magnetic resonance imaging (fMRI) data based on functional data analysis, an advanced nonparametric approach. The data delivered by the fMRI scans are viewed as continuous functions of time sampled at the interscan interval and subject to observational noise, and are used ...
Roberto, Viviani +2 more
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Global features of gene expression on the proteome and transcriptome levels in S. coelicolor during germination. [PDF]
PLoS ONE, 2013 Streptomycetes have been studied mostly as producers of secondary metabolites, while the transition from dormant spores to an exponentially growing culture has largely been ignored.
Eva Strakova +3 more
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Multilevel functional principal component analysis
The Annals of Applied Statistics, 2009 Published in at http://dx.doi.org/10.1214/08-AOAS206 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Di, Chong-Zhi +3 more
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Short-Term Electricity Demand Forecasting Using a Functional State Space Model
Energies, 2018 In the past several years, the liberalization of the electricity supply, the increase in variability of electric appliances and their use, and the need to respond to the electricity demand in real time has made electricity demand forecasting a challenge.
Komi Nagbe +2 more
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Properties of design-based functional principal components analysis [PDF]
Journal of Statistical Planning and Inference, 2010 Revised version for J. of Statistical Planning and Inference (January 2009)
Cardot, Hervé +3 more
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