Articles with "component regression" as a keyword



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Principal component regression that minimizes the sum of the squares of the relative errors: Application in multivariate calibration models

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Published in 2021 at "Journal of Chemometrics"

DOI: 10.1002/cem.3341

Abstract: Relative errors are typically used in chemometrics to evaluate the performance of a multivariate predictive model. However, these models are not obtained through the criterion of minimizing relative errors, as would be expected in a… read more here.

Keywords: regression minimizes; principal component; minimizes sum; relative errors ... See more keywords
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Minimax rate in prediction for functional principal component regression

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Published in 2019 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2019.1649429

Abstract: Abstract In this short paper, we consider the convergence rate of functional linear regression in prediction loss. For upper bound we consider estimation of the slope function based on functional principal component analysis. Lower bound… read more here.

Keywords: principal component; rate; component regression; functional principal ... See more keywords
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PC-DOT: Improving genomic prediction ability of principal component regression by DOT product.

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Published in 2022 at "Animal genetics"

DOI: 10.1111/age.13255

Abstract: Principal component regression (PC regression) is a useful method developed for prediction based on a dimension-reducing strategy. Generally, the principal components (PCs) are added to the regression model one by one based on the eigenvalue… read more here.

Keywords: regression; component regression; dot; principal component ... See more keywords
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Removal of correlated background in a high-order harmonic transient absorption spectra with principal component regression.

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Published in 2021 at "Optics express"

DOI: 10.1364/oe.435008

Abstract: We demonstrate a 40x mean noise power reduction (NPR) in core-to-valence extreme ultraviolet (XUV) femtosecond transient absorption spectroscopy with a high harmonic generation (HHG) light source. An adaptive iteratively reweighted principal component regression (airPCR) is… read more here.

Keywords: absorption; component regression; principal component; transient absorption ... See more keywords