# Functional principal component analysis

## Papers overview

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2018

2018

- Statistics and Computing
- 2018

In functional linear regression, one conventional approach is to first perform functional principal component analysis (FPCA) onâ€¦Â (More)

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2017

2017

- Statistics and Computing
- 2017

This paper focuses on the analysis of spatially correlated functional data. We propose a parametric model for spatial correlationâ€¦Â (More)

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2017

2017

- IEEE International Conference on Prognostics andâ€¦
- 2017

Lithium ion batteries are widely used for energy storage. Its capacity degradation modeling and cycle to failure estimation hasâ€¦Â (More)

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2014

2014

- 2014

We describe additional details in setting the multivariate covariance function and the eigenfunctions along with the eigenvaluesâ€¦Â (More)

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2013

2013

- 2013

In Functional Data Analysis (FDA), the underlying structure of a raw observation is functional and data are assumed to be sampleâ€¦Â (More)

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Review

2011

Review

2011

- 2011

Advances in data collection and storage have tremendously increased the presence of functional data, whose graphicalâ€¦Â (More)

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2009

2009

- 2009

The Sleep Heart Health Study (SHHS) is a comprehensive landmark study of sleep and its impacts on health outcomes. A primaryâ€¦Â (More)

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2007

2007

- 2007

This paper proposes a nonparametric approach for jointly modelling longitudinal and survival data using functional principalâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- 2005

We propose an iterative estimation procedure for performing functional principal component analysis. The procedure aims atâ€¦Â (More)

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2000

2000

- 2000

Functional principal component analysis (PCA) enables us to investigate some patterns of data over time. However, There is aâ€¦Â (More)

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