Sparse and efficient estimation for partial spline models with increasing dimension

Keyphrases

• Regularization Method 100%
• Smoothing Spline 100%
• Nonparametric Component 100%
• Parametric Component 100%
• Partial Spline 100%
• Spline Model 100%
• Increasing Dimension 100%
• Convergence Rate 50%
• Asymptotic Properties 50%
• Model Selection 50%
• Least Absolute Shrinkage and Selection Operator (LASSO) 50%
• Model Estimation 50%
• Finite Sample Performance 50%
• Optimal Rate 50%
• Solution Path 50%
• Rate Property 50%
• Computational Properties 50%
• Sparse Estimation 50%
• Regularity Conditions 50%
• Smooth Estimation 50%
• Weak Regularity 50%
• Roughness Penalty 50%
• Command Smoothing 50%
• LARS Algorithm 50%
• Oracle Property 50%

Mathematics

• Spline 100%
• Parametric 100%
• Regularization 100%
• Spline Model 100%
• Increasing Dimension 100%
• Objective Function 50%
• Convergence Rate 50%
• Model Selection 50%
• Asymptotic Property 50%
• Regularity Condition 50%