Sparse Regression by Projection and Sparse Discriminant Analysis

Mathematics

• Dimensional Data 100%
• Discriminant Analysis 100%
• Regression Coefficient 100%
• PCA 50%
• Partial Least Squares 50%
• Canonical Correlation Analysis 50%
• Model Selection 50%
• Cross-Validation 50%
• Simulation Study 50%
• Predictive Performance 50%
• Elastic Net 50%
• Higher Dimensions 50%
• Accurate Prediction 50%
• Parameter Estimation 50%
• Real Data 50%
• Supplementary Material 50%

Keyphrases

• Sparse Discriminant Analysis 100%
• Sparse Component 100%
• Partial Least Squares Correlation 50%
• Predictive Variables 50%
• Projection Problem 50%
• Consistency Estimation 50%
• Selection Parameters 50%
• Model Selection Consistency 50%
• Estimation Consistency 50%
• Simultaneous Model 50%