Penalty processes for combining roughness and smoothness in spectral multivariate calibration-Reference-Cited by-同舟云学术

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Penalty processes for combining roughness and smoothness in spectral multivariate calibration

Published:2016-03-14 Issue:4 Volume:30 Page:144-152
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:J. Chemometrics

Author:

Tencate Alister¹,Kalivas John H.¹,Andries Erik²³

Affiliation:

1. Department of Chemistry Idaho State University Pocatello Idaho 83209 USA

2. Center for Advanced Research Computing University of New Mexico Albuquerque New Mexico 87106 USA

3. Department of Mathematics Central New Mexico Community College Albuquerque New Mexico 87106 USA

Funder

National Science Foundation

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cem.2784

Reference36 articles.

1. Multivariate calibration stability: a comparison of methods

2. Tikhonov regularization in standardized and general form for multivariate calibration with application towards removing unwanted spectral artifacts

3. Evaluation of smoothing techniques in the run to run optimization of fed-batch processes with u-PLS

4. Flexible Parsimonious Smoothing and Additive Modeling

5. Flexible smoothing with B-splines and penalties

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1. Risky times: Seasonality and event risk of commodities;Journal of Futures Markets;2024-02-18

2. Smoothing and differentiation of data by Tikhonov and fractional derivative tools, applied to surface‐enhanced Raman scattering (SERS) spectra of crystal violet dye;Journal of Chemometrics;2023-07-11

3. Sample and feature augmentation strategies for calibration updating;Journal of Chemometrics;2018-10

4. Sample‐wise spectral multivariate calibration desensitized to new artifacts relative to the calibration data using a residual penalty;Journal of Chemometrics;2017-01-11

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