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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…
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Keywords:
regression minimizes;
principal component;
minimizes sum;
relative errors ... See more keywords
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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…
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Keywords:
principal component;
rate;
component regression;
functional principal ... See more keywords
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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…
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Keywords:
regression;
component regression;
dot;
principal component ... See more keywords
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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…
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Keywords:
absorption;
component regression;
principal component;
transient absorption ... See more keywords