Variable Selection in near Infrared Spectroscopy Based on Significance Testing in Partial Least Squares Regression

By Frank Westad, Harald Martens. 2000

252 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biomedical Engineering, Biophysics

View Paper: https://www.semanticscholar.org/paper/43e1bc5465b0d73acac05fef0d5cff8fd8331d8d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. A. Gomes
2. Edvan Cirino da Silva
3. Germano Véras
4. Roberto Kawakami Harrop Galvão
5. Mário César Ugulino de Araújo
6. Bjoern H Menze
7. Rasmus Bro
8. B. Michael Kelm

In Biomedical Engineering

1. Rasmus Bro
2. Felix N. Kogan
3. C. M. Andersen
4. L. Roytman
5. Ulf Geir Indahl
6. L. Salazar

In Biophysics

1. Rasmus Bro
2. Felix N. Kogan
3. Fred A. Hamprecht
4. C. M. Andersen
5. L. Roytman
6. Ulf Geir Indahl
7. L. Salazar

Citations in the corpus

• Interactions between gut microbiota, host genetics and diet relevant to development of metabolic syndromes in mice (2010, methodology): “The Martens’ uncertainty test (Westad and Martens, 2000) and a one-way ANOVA test then selected a total of 65 phylotypes as key variables for separating gut microbiota under different genotypes, diets or IGT/obesity phenotypes (Figure 3, Supplementary Figure 4 and Supplementary Table 1).”
• A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data (2009, methodology): “It is observed, however, that although both PCR and PLS are capable learning methods on spectral data – used for example for in [4] – they still have a need to eliminate useless predictors [5,6].”
• A twist to partial least squares regression (2005, methodology): “Further descriptions and modelling based on this data set can be found in References [16,17].”
• The successive projections algorithm for interval selection in PLS (2013, background): “As described elsewhere [37], extract is an important quality parameter in the brewing industry indicating the potential of the beer to ferment alcohol.”
• Using vegetation health indices and partial least squares method for estimation of corn yield (2008, methodology): “Then the estimate of the variance of B is (Westad and Martens 2000): v Bð Þ~ n{1 n Xn i~1 Bi{Btotð Þ2 ð5Þ When these variances were estimated, they were used to find significant parameters.”
• Variable selection in regression—a tutorial (2010, background): “Westad and Martens [21] have previously applied jack-knifing on the beer data set.”