Blar i Publikasjoner fra Cristin - NMBU på tidsskrift "Journal of Chemometrics"
Viser treff 1-15 av 15
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A similarity index for comparing coupled matrices
(Journal article; Peer reviewed, 2018) -
An algorithm for robust multiblock partial least squares predictive modelling
(Journal article; Peer reviewed, 2023) -
Baseline and interferent correction by the Tikhonov regularization framework for linear least squares modeling
(Journal article; Peer reviewed, 2018) -
Baseline and interferent correction by the Tikhonov regularization framework for linear least squares modeling
(Journal article; Peer reviewed, 2018) -
Comparison of variable selection methods in partial least squares regression
(Peer reviewed; Journal article, 2020) -
Confidence ellipsoids for ASCA models based on multivariate regression theory
(Journal article; Peer reviewed, 2018) -
Fast and stable partial least squares modelling: A benchmark study with theoretical comments
(Journal article; Peer reviewed, 2017) -
Iterative re-weighted covariates selection for robust feature selection modelling in the presence of outliers (irCovSel)
(Peer reviewed; Journal article, 2022) -
Iterative re-weighted multilinear partial least squares modelling for robust predictive modelling
(Journal article; Peer reviewed, 2023) -
Much faster cross‐validation in PLSR‐modelling by avoiding redundant calculations
(Peer reviewed; Journal article, 2020) -
Orders of magnitude speed increase in Partial Least Squares feature selection with new simple indexing technique for very tall data sets
(Peer reviewed; Journal article, 2019)Feature selection is a challenging combinatorial optimization problem that tends to require a large number of candidate feature subsets to be evaluated before a satisfying solution is obtained. Because of the computational ... -
Selection of principal variables through a modified Gram–Schmidt process with and without supervision
(Peer reviewed; Journal article, 2023)In various situations requiring empirical model building from highly multivariate measurements, modelling based on partial least squares regression (PLSR) may often provide efficient low-dimensional model solutions. In ... -
Sequential and orthogonalized PLS (SO-PLS) regression for path analysis: Order of blocks and relations between effects
(Peer reviewed; Journal article, 2020)This paper is about the use of the multiblock regression method sequential and orthogonalized partial least squares (SO-PLS) for path modeling. The paper is a follow up of previously published papers on the same topic and ... -
The canonical partial least squares approach to analysing multiway datasets—N-CPLS
(Peer reviewed; Journal article, 2022) -
The O-PLS methodology for orthogonal signal correction—is it correcting or confusing?
(Journal article; Peer reviewed, 2017)