Functional principal component analysis

Functional principal component analysis (FPCA) is a statistical method for investigating the dominant modes of variation of functional data. Using… (More)
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2018
2018
In functional linear regression, one conventional approach is to first perform functional principal component analysis (FPCA) on… (More)
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2017
2017
This paper focuses on the analysis of spatially correlated functional data. We propose a parametric model for spatial correlation… (More)
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2017
2017
Lithium ion batteries are widely used for energy storage. Its capacity degradation modeling and cycle to failure estimation has… (More)
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2014
2014
We describe additional details in setting the multivariate covariance function and the eigenfunctions along with the eigenvalues… (More)
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2013
2013
In Functional Data Analysis (FDA), the underlying structure of a raw observation is functional and data are assumed to be sample… (More)
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Review
2011
Review
2011
Advances in data collection and storage have tremendously increased the presence of functional data, whose graphical… (More)
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2009
2009
The Sleep Heart Health Study (SHHS) is a comprehensive landmark study of sleep and its impacts on health outcomes. A primary… (More)
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2007
2007
This paper proposes a nonparametric approach for jointly modelling longitudinal and survival data using functional principal… (More)
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Highly Cited
2005
Highly Cited
2005
We propose an iterative estimation procedure for performing functional principal component analysis. The procedure aims at… (More)
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2000
2000
Functional principal component analysis (PCA) enables us to investigate some patterns of data over time. However, There is a… (More)
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