Pages that link to "Item:Q3195164"
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The following pages link to Variable selection for high dimensional multivariate outcomes (Q3195164):
Displaying 24 items.
- High-dimensional regression and variable selection using CAR scores (Q118588) (← links)
- High-dimensional variable selection (Q834336) (← links)
- A sequential test for variable selection in high dimensional complex data (Q1623732) (← links)
- Simultaneous dimension reduction and variable selection in modeling high dimensional data (Q1654282) (← links)
- Variable selection in multivariate linear models with high-dimensional covariance matrix estimation (Q1749984) (← links)
- Multivariate variable selection by means of null-beamforming (Q2044421) (← links)
- Variable selection techniques after multiple imputation in high-dimensional data (Q2220289) (← links)
- A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data (Q2324950) (← links)
- Regularized estimation in sparse high-dimensional multivariate regression, with application to a DNA methylation study (Q2406186) (← links)
- Flexible covariate-adjusted exact tests of randomized treatment effects with application to a trial of HIV education (Q2441852) (← links)
- Consistent variable selection in high dimensional regression via multiple testing (Q2507896) (← links)
- Integrative analysis and variable selection with multiple high-dimensional data sets (Q3165548) (← links)
- A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article) (Q3405559) (← links)
- High Dimensional Variable Selection via Tilting (Q4632676) (← links)
- Modeling association between multivariate correlated outcomes and high-dimensional sparse covariates: the adaptive SVS method (Q5036571) (← links)
- High-Dimensional Variable Selection for Survival Data (Q5254949) (← links)
- (Q5499592) (← links)
- Variable screening in multivariate linear regression with high-dimensional covariates (Q5880134) (← links)
- Multivariate survival analysis in big data: A divide‐and‐combine approach (Q6079569) (← links)
- Identification of microbial features in multivariate regression under false discovery rate control (Q6113732) (← links)
- Variable selection in multivariate regression models with measurement error in covariates (Q6536692) (← links)
- Detecting clusters in multivariate response regression (Q6602354) (← links)
- Doubly structured sparsity for grouped multivariate responses with application to functional outcome score modeling (Q6625800) (← links)
- Generalized finite mixture of multivariate regressions with applications to therapeutic biomarker identification (Q6629898) (← links)