FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions

Keyphrases

• Feature Selection 100%
• Feature Measurement 100%
• Adaptive Method 100%
• Functional Regression 100%
• Simulation Study 50%
• Regression Problem 50%
• Scientific Applications 25%
• Machine Learning Techniques 25%
• Parameter Estimation 25%
• Computational Cost 25%
• Functional Data 25%
• Motivation 25%
• Scalar 25%
• Overfitting 25%
• Sparsity 25%
• Adaptive Adjustment 25%
• Time Performance 25%
• Prediction Accuracy 25%
• Selection Performance 25%
• Brain MRI 25%
• Oracle Property 25%
• Functional Principal Components 25%
• Selection Accuracy 25%
• CPU Time 25%
• Theoretical Derivation 25%
• Data Learning 25%
• Feature Parameter 25%
• Complex Dataset 25%
• Estimation Consistency 25%
• Ultra-efficient 25%
• Data-driven Optimization 25%
• Coefficient Estimates 25%
• High-dimensional Function 25%
• Selection Consistency 25%

Mathematics

• Simulation Study 100%
• Parameter Estimation 50%
• Asymptotics 50%
• Principal Components 50%
• Lagrangian 50%
• Functional Data 50%
• Supplementary Material 50%
• Computational Cost 50%
• Regression Function 50%
• Accurate Prediction 50%

Computer Science

• Feature Selection 100%
• Feature Extraction 100%
• Simulation Study 50%
• Regression Problem 50%
• Parameter Estimation 25%
• Functional Data 25%
• Sparsity 25%
• Machine Learning Technique 25%
• Principal Components 25%
• Computational Cost 25%
• Supplementary Material 25%
• Scientific Application 25%