Variable selection for partially linear models via learning gradients

Keyphrases

• Partially Linear Model 100%
• Learning Gradients 100%
• Nonlinear Component 57%
• Variable Selection Methods 28%
• Structural Assumption 28%
• Additive Partially Linear Model 28%
• Unmet Needs 14%
• Simulation Study 14%
• Theoretical Properties 14%
• Linear Components 14%
• Selection Consistency 14%
• Group Lasso Penalty 14%
• High-dimensional Data 14%
• Estimation Consistency 14%
• Nonparametric Regression 14%
• Block Coordinate Descent 14%
• Reproducing Kernel Hilbert Space 14%

Mathematics

• Linear Models 100%
• Nonlinear 36%
• Simulation Study 9%
• Real Data 9%
• Dimensional Data 9%
• Hilbert Space 9%
• Nonparametric Regression Model 9%
• Select Variable 9%