| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1179796 | Chemometrics and Intelligent Laboratory Systems | 2011 | 11 Pages |
Abstract
⺠We take a novel approach to signal regression 2D signals (spectra). ⺠We separate two modeling components: smooth coefficient surface and nonlinear link. ⺠We use P-splines for each component. ⺠We show highly competitive external prediction performance.
Related Topics
Physical Sciences and Engineering
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Analytical Chemistry
Authors
Brian D. Marx, Paul H.C. Eilers, Bin Li,