Results 11 to 20 of about 91,920 (292)
HB-PLS: A statistical method for identifying biological process or pathway regulators by integrating Huber loss and Berhu penalty with partial least squares regression [PDF]
Forestry Research, 2021 Gene expression data features high dimensionality, multicollinearity, and non-Gaussian distribution noise, posing hurdles for identification of true regulatory genes controlling a biological process or pathway. In this study, we integrated the Huber loss
Wenping Deng +4 more
doaj +2 more sources
Deep partial least squares for instrumental variable regression [PDF]
Applied Stochastic Models in Business and Industry, 2023 AbstractIn this paper, we propose deep partial least squares for the estimation of high‐dimensional nonlinear instrumental variable regression. As a precursor to a flexible deep neural network architecture, our methodology uses partial least squares for dimension reduction and feature selection from the set of instruments and covariates.
Maria Nareklishvili +2 more
core +5 more sources
The pls Package: Principal Component and Partial Least Squares Regression in R
Journal of Statistical Software, 2007 The pls package implements principal component regression (PCR) and partial least squares regression (PLSR) in R (R Development Core Team 2006b), and is freely available from the Comprehensive R Archive Network (CRAN), licensed under the GNU General ...
Bjørn-Helge Mevik
doaj +1 more source
Comparison of partial least squares regression, least squares support vector machines, and Gaussian process regression for a near infrared calibration [PDF]
Journal of Near Infrared Spectroscopy, 2017 This paper investigates the use of least squares support vector machines and Gaussian process regression for multivariate spectroscopic calibration. The performances of these two non-linear regression models are assessed and compared to the traditional ...
Tom Fearn
exaly +2 more sources
The peculiar shrinkage properties of partial least squares regression
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2000 Summary Partial least squares regression has been widely adopted within some areas as a useful alternative to ordinary least squares regression in the manner of other shrinkage methods such as principal components regression and ridge regression.
Neil A Butler
exaly +3 more sources
Domain-Invariant Partial-Least-Squares Regression
Analytical Chemistry, 2018 Multivariate calibration models often fail to extrapolate beyond the calibration samples because of changes associated with the instrumental response, environmental condition, or sample matrix. Most of the current methods used to adapt a source calibration model to a target domain exclusively apply to calibration transfer between similar analytical ...
Ramin Nikzad-Langerodi +3 more
openaire +3 more sources
Partial Least-Squares Regression
, 2011 127 σ.Πολλές φορές δυο ή περισσότερες ποσοτικές μεταβλητές εξετάζονται ταυτόχρονα προκειμένου να προσδιοριστεί η οποιαδήποτε σχέση υπάρχει μεταξύ τους η αλλιώς για την πρόβλεψη μιας από τις υπόλοιπες μεταβλητές.
Stavrinidis, Stavros-Konstantinos M. +1 more
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Partial Least Squares Regression on Symmetric Positive-Definite Matrices [PDF]
Revista Colombiana de Estadística, 2013 Recientemente ha habido un aumento en el interés de analizar diferentes tipos de datos variedad-valuados, dentro de los cuáles aparecen los datos de matrices simétricas definidas positivas.
RAÚL ALBERTO PÉREZ +1 more
doaj +1 more source
Quaternion Kernel Partial Least Squares Regression Algorithms
Journal of the Franklin InstituteThis work provides three quaternion kernel partial least squares (PLS) algorithms for linear and nonlinear regressions. Firstly, the problem of large ill-conditioned matrices is tackled and two specifically designed linear kernel algorithms are suggested.
José Domingo Jiménez-López +3 more
openaire +4 more sources
Partial least-squares regression for soil salinity mapping in Bangladesh
Ecological Indicators, 2023 Estimating the salinity of the soil along the coast of south-western Bangladesh is the focus of this study. Thirteen soil salinity indicators were computed using the Landsat OLI images, and 241 soil salinity samples were gathered from secondary sources ...
Showmitra Kumar Sarkar +3 more
doaj +1 more source