Now showing items 1-10 of 2361
Envelopes: A new chapter in partial least squares regression
(John Wiley & Sons Ltd, 2020-10)
Partial least squares (PLS) regression has been a very popular method for prediction. The method can in a natural way be connected to a statistical model, which now has been extended and further developed in terms of an ...
MIA-QSAR modeling of activities of a series of AZT analogues: bi- and multilinear PLS regression
(Taylor & Francis, 2020)
Multi-way figures of merit in the presence of heteroscedastic and correlated instrumental noise: Unfolded partial least-squares with residual multi-linearization
(Elsevier Science, 2016-11)
In the presence of correlated and/or heteroscedastic noise, i.e., for measurement noise which is not independent and identically distributed (iid), new expressions are required to estimate multi-way calibration figures of ...
Analytical Figures of Merit for Partial Least-Squares Coupled to Residual Multilinearization
(American Chemical Society, 2012-12)
A new expression is developed which allows estimating the sensitivity for the whole family of multivariate calibration algorithms based on partial least-squares regression combined with residual multilinearization. The ...