Results 121 to 130 of about 91,920 (292)
Partial least-squares regression with unlabeled data
It is well known that the prediction errors from principal component regression (PCR) and partial least-squares regression (PLSR) can be reduced by using both labeled and unlabeled data for stabilizing the latent subspaces in the calibration step.
Bonvin, Dominique +3 more
core
Arthritis Care &Research, EarlyView.Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada +7 more
wiley +1 more source
The Utilization of Partial Least Squares for Simultaneous Feature Selection and Extraction
Revstat Statistical JournalSeveral works concerning the utilization of Partial Least Squares as a supervised dimension reduction technique have been developed over the years in the field of chemometrics, among others, for regression purposes. However, Partial Least Squares can be
Elisavet Beki, Ntotsis Kimon
doaj
Envelope-based partial least squares in functional regression
Journal of Multivariate AnalysisIn this article, we extend predictor envelope models to settings with multivariate outcomes and multiple, functional predictors. We propose a two-step estimation strategy, which first projects the function onto a finite-dimensional Euclidean space before fitting the model using existing approaches to envelope models. We first develop an estimator under
Minxuan Wu, Joseph Antonelli, Zhihua Su
openaire +2 more sources
(Non) Linear Regression Modeling [PDF]
We will study causal relationships of a known form between random variables. Given a model, we distinguish one or more dependent (endogenous) variables Y = (Y1, . . .
Čížek, Pavel
core
Temperature Prediction of RCC Based on Partial Least-Squares Regression
, 2012 the mathematical modeling principle and method of partial least-squares regression is elaborated, based on the temperature monitoring data of some gravity dam, the trend of dam concrete temperature is predicted by partial least-squares regression model ...
Yu-qing, Zhao, Yan-liang,
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Arthritis Care &Research, EarlyView.Objective Race and household income impact outcomes in patients with rheumatic conditions; however, their role in pediatric antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV) remains poorly understood. We aimed to evaluate whether race and ethnicity and household income are associated with severe AAV disease and renal outcomes among
Roberto Alejandro Valdovinos +2 more
wiley +1 more source
BMC ChemistryThree accurate, simple, and precise chemometric techniques, principal component regression (PCR), partial least squares (PLS), and backward interval partial least squares (biPLS) were used to resolve the severely overlapped UV spectra of miconazole ...
Esraa S. Ashour +3 more
doaj +1 more source
SensorsAddressing the difficulty of intuitively identifying and effectively correcting induced heave error in multibeam measurements, this paper proposes a two-stage methodology comprising error identification and correction.
Xiaohan Yu +5 more
doaj +1 more source
The corona blues according to daily life changes by COVID-19: A partial least squares regression model. [PDF]
Growth Change, 2022 Gim TT.
europepmc +1 more source