Potential applications of functional data analysis in chemometrics

By Wouter Saeys, B. De Ketelaere, Paul L. Darius. 2008

64 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biomedical Engineering, Biophysics

View Paper: https://www.semanticscholar.org/paper/2b55548d2d1ae33315f0a6fccb1a813de5668c99

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. Cristian Preda
2. Nicole Krämer
3. Ana M. Aguilera
4. Anne-Laure Boulesteix
5. Gilbert Saporta
6. Manuel Escabias
7. Gerhard E. Tutz
8. M. Febrero–Bande

In Biophysics

1. Anne-Laure Boulesteix

Citations in the corpus

• Using basis expansions for estimating functional PLS regression Applications with chemometric data (2010, methodology): “The potential of functional data representation with B-splines has been discussed in the field of chemometrics using two practical data sets: near infra red (NIR) spectra from hog manure samples and NIR transmission spectra of Diesel data [32].”
• Penalized Partial Least Squares with Applications to B-Spline Transformations and Functional Data (2006, background): “It is also common to represent the spectra in terms of basis functions as B-Splines or wavelets [22, 4, 26] before applying regression techniques [32, 36].”