Pages that link to "Item:Q5754925"

The following pages link to Prediction by Supervised Principal Components (Q5754925):

Displaying 50 items.

• Sufficient forecasting using factor models (Q75240) (← links)
• An introduction to recent advances in high/infinite dimensional statistics (Q268712) (← links)
• Supervised singular value decomposition and its asymptotic properties (Q268716) (← links)
• Forecasting economic time series using targeted predictors (Q299223) (← links)
• Identification of consistent functional genetic modules (Q306654) (← links)
• Rejoinder: Fisher lecture: Dimension reduction in regression (Q449743) (← links)
• Nonparametric significance testing and group variable selection (Q476217) (← links)
• Convergence and prediction of principal component scores in high-dimensional settings (Q620562) (← links)
• Incorporating biological information into linear models: a Bayesian approach to the selection of pathways and genes (Q652363) (← links)
• Supervised principal component analysis: visualization, classification and regression on subspaces and submanifolds (Q716365) (← links)
• The additive hazards model with high-dimensional regressors (Q841068) (← links)
• Regularization in statistics (Q882931) (← links)
• Principal fitted components for dimension reduction in regression (Q907947) (← links)
• ``Preconditioning'' for feature selection and regression in high-dimensional problems (Q939656) (← links)
• Partial least squares Cox regression for genome-wide data (Q953248) (← links)
• Testing significance of features by lassoed principal components (Q958329) (← links)
• Internal validation inferences of significant genomic features in genome-wide screening (Q961192) (← links)
• Survival prediction using gene expression data: a review and comparison (Q961312) (← links)
• An integrative pathway-based clinical-genomic model for cancer survival prediction (Q988098) (← links)
• High-dimensional classification using features annealed independence rules (Q1000303) (← links)
• TPRM: tensor partition regression models with applications in imaging biomarker detection (Q1620984) (← links)
• Identification of relevant subtypes via preweighted sparse clustering (Q1658409) (← links)
• Sparse principal component regression with adaptive loading (Q1663268) (← links)
• Supervised functional principal component analysis (Q1703870) (← links)
• Supervised multiway factorization (Q1746558) (← links)
• Penalized orthogonal-components regression for large \(p\) small \(n\) data (Q1952001) (← links)
• Canonical thresholding for nonsparse high-dimensional linear regression (Q2119237) (← links)
• Inference in latent factor regression with clusterable features (Q2137004) (← links)
• Targeted principal components regression (Q2140873) (← links)
• Grouped feature importance and combined features effect plot (Q2172623) (← links)
• Projective inference in high-dimensional problems: prediction and feature selection (Q2188473) (← links)
• Sparse wavelet regression with multiple predictive curves (Q2254158) (← links)
• Treelets -- an adaptive multi-scale basis for sparse unordered data (Q2271330) (← links)
• Efficient reconstructions of Common Era climate via integrated nested Laplace approximations (Q2273008) (← links)
• Evaluation of driving risk at different speeds (Q2273980) (← links)
• Certifiably optimal sparse principal component analysis (Q2293653) (← links)
• Dimension reduction of gene expression data (Q2322003) (← links)
• Combined supervised information with PCA via discriminative component selection (Q2353650) (← links)
• Asymptotic properties of bridge estimators in sparse high-dimensional regression models (Q2426616) (← links)
• Prediction of multivariate responses with a selected number of principal components (Q2445634) (← links)
• sJIVE: supervised joint and individual variation explained (Q2674488) (← links)
• High-dimensional Cox models: the choice of penalty as part of the model building process (Q2786152) (← links)
• The Dantzig Selector in Cox's Proportional Hazards Model (Q3103139) (← links)
• Compressed and Penalized Linear Regression (Q3391428) (← links)
• (Q3777261) (← links)
• Testing for Neglected Nonlinearity Using Regularized Artificial Neural Networks (Q4561855) (← links)
• Sparse Partial Least Squares Regression for Simultaneous Dimension Reduction and Variable Selection (Q4632618) (← links)
• Does a lot help a lot? Forecasting stock returns with pooling strategies in a data‐rich environment (Q4687660) (← links)
• Sparse partial least squares regression for on‐line variable selection with multivariate data streams (Q4969714) (← links)
• Survival prediction and variable selection with simultaneous shrinkage and grouping priors (Q4969996) (← links)