Quantile Correlation-based Variable Selection

Cites Work

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Model-Free Feature Screening for Ultrahigh-Dimensional Data
Sure independence screening in generalized linear models with NP-dimensionality
The Adaptive Lasso and Its Oracle Properties
Testing a single regression coefficient in high dimensional linear models
Variable selection for general index models via sliced inverse regression
Robust rank correlation based screening
The control of the false discovery rate in multiple testing under dependency.
Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data
Nonparametric screening under conditional strictly convex loss for ultrahigh dimensional sparse data
The fused Kolmogorov filter: a nonparametric model-free screening method
Large-Scale Multiple Testing under Dependence
Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
Oracle and Adaptive Compound Decision Rules for False Discovery Rate Control
Sliced Inverse Regression for Dimension Reduction
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
False Discovery Rate Control for High Dimensional Networks of Quantile Associations Conditioning on Covariates
A Direct Approach to False Discovery Rates
Fused Estimators of the Central Subspace in Sufficient Dimension Reduction
Model-Free Forward Screening Via Cumulative Divergence
Category-Adaptive Variable Screening for Ultra-High Dimensional Heterogeneous Categorical Data
Correlation and Large-Scale Simultaneous Significance Testing
Estimation of the False Discovery Proportion with Unknown Dependence
Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis
The Kolmogorov filter for variable screening in high-dimensional binary classification
Model Selection and Estimation in Regression with Grouped Variables
Common risk factors in the returns on stocks and bonds
Large-Scale Simultaneous Hypothesis Testing
Correlation Pursuit: Forward Stepwise Variable Selection for Index Models
A Note on High-Dimensional Linear Regression With Interactions

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