The following pages link to (Q3198724):
Displaying 50 items.
- The Degrees of Freedom of Partial Least Squares Regression (Q86894) (← links)
- A new universal resample-stable bootstrap-based stopping criterion for PLS component construction (Q123736) (← links)
- Estimator selection in the Gaussian setting (Q141397) (← links)
- Partial least squares with a regularized weight (Q283784) (← links)
- A two-stage variable selection strategy for supersaturated designs with multiple responses (Q372243) (← links)
- Methodology and theory for partial least squares applied to functional data (Q450036) (← links)
- Two-step PLS regression for L-structured data: an application in the cosmetic industry (Q635886) (← links)
- Covariate adjustment in partial least squares (PLS) regression for the extraction of the spatial-temporal pattern from positron emission tomography data (Q713746) (← links)
- Partial quantile regression (Q745476) (← links)
- The additive hazards model with high-dimensional regressors (Q841068) (← links)
- Principal fitted components for dimension reduction in regression (Q907947) (← links)
- Augmenting the bootstrap to analyze high dimensional genomic data (Q946203) (← links)
- PLS generalised linear regression (Q957073) (← links)
- PCA and PLS with very large data sets (Q957080) (← links)
- Regression of a data matrix on descriptors of both its rows and of its columns via latent variables: L-PLSR (Q957091) (← links)
- PLS regression on a stochastic process (Q957099) (← links)
- Interpretation of partial least-squares regression models with VARIMAX rotation (Q957103) (← links)
- Geometric properties of partial least squares for process monitoring (Q985292) (← links)
- Derived components regression using the BACON algorithm (Q1010390) (← links)
- Reciprocal curves (Q1010427) (← links)
- Restricted regression component decomposition (Q1283288) (← links)
- A simulation study on comparison of prediction methods when only a few components are relevant (Q1351853) (← links)
- A sequential approach for identifying lead compounds in large chemical databases. (Q1431200) (← links)
- Kernel continuum regression (Q1615146) (← links)
- Principal quantile regression for sufficient dimension reduction with heteroscedasticity (Q1657946) (← links)
- Revisiting useful approaches to data-rich macroeconomic forecasting (Q1659116) (← links)
- Forecasting inflation and GDP growth using heuristic optimisation of information criteria and variable reduction methods (Q1659126) (← links)
- Probabilistic partial least squares model: identifiability, estimation and application (Q1661363) (← links)
- Partial least squares prediction in high-dimensional regression (Q1731062) (← links)
- Making inferences about past environmental change using smoothing in multiple time scales. (Q1853791) (← links)
- The asymptotic variance of the univariate PLS estimator (Q1855360) (← links)
- Nonlinear black-box modeling in system identification: A unified overview (Q1911270) (← links)
- Connecting continuum regression with sufficient dimension reduction (Q2018617) (← links)
- Extreme partial least-squares (Q2111063) (← links)
- Sparse functional partial least squares regression with a locally sparse slope function (Q2128071) (← links)
- Targeted principal components regression (Q2140873) (← links)
- A two-step estimation method for grouped data with connections to the extended growth curve model and partial least squares regression (Q2350070) (← links)
- A method for screening active effects in supersaturated designs (Q2370487) (← links)
- Handbook of partial least squares. Concepts, methods and applications. (Q2379105) (← links)
- A two-step PLS inspired method for linear prediction with group effect (Q2392080) (← links)
- Prediction of multivariate responses with a selected number of principal components (Q2445634) (← links)
- PLS regression: a directional signal-to-noise ratio approach (Q2507757) (← links)
- Redundancy analysis and PLS regression applied to spatial data. Comparison with kriging estimation and by inverse distance (Q2767829) (← links)
- Influence Function Analysis for the Robust Partial Least Squares (RoPLS) Estimator (Q2859320) (← links)
- Maximum Likelihood Estimators in a Two Step Model for PLS (Q2920053) (← links)
- On distribution-weighted partial least squares with diverging number of highly correlated predictors (Q2920280) (← links)
- Near Optimal Prediction from Relevant Components (Q3145563) (← links)
- On the structure of partial least squares regression (Q3471516) (← links)
- Sparse Partial Least Squares Regression for Simultaneous Dimension Reduction and Variable Selection (Q4632618) (← links)
- Study of partial least squares and ridge regression methods (Q4638853) (← links)
