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Adaptive penalties for generalized Tikhonov regularization in statistical regression models with application to spectroscopy data
Tikhonov regularization was proposed for multivariate calibration by Andries and Kalivas [1]. We use this framework for modeling the statistical association between spectroscopy data and a scalar outcome. In both the calibration and regression settings this regularization process has advantages over...
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| Yayımlandı: | J Chemom |
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| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2016
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6200416/ https://ncbi.nlm.nih.gov/pubmed/30369716 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cem.2850 |
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