Variable selection for high-dimensional incomplete data

Keyphrases

• Incomplete Data 100%
• Multiple Imputation 100%
• Asian Americans 100%
• Copyright 50%
• Regression Analysis 50%
• Missing Data 50%
• Accuracy Improvement 50%
• Data Sampling 50%
• Efficiency Improvement 50%
• High-dimensional Data 50%
• Missing Pattern 50%
• Multicollinearity 50%
• Computational Efficiency 50%
• Real-time Data Analysis 50%
• Key Risk Factors 50%
• Data Imputation 50%
• Imputation Algorithm 50%
• Soft-impute 50%
• Matrix Completion 50%
• Pattern Variation 50%
• National Youth 50%
• Youth Risk Behavior Survey 50%
• Random Lasso 50%
• LASSO Algorithm 50%
• Consistent Method 50%
• Simulation Data Analysis 50%
• Sampling Variation 50%
• Algorithm-based 50%
• Variable Selection Method 50%

Mathematics

• Incomplete Data 100%
• Multiple Imputation 100%
• Least Absolute Shrinkage and Selection Operator 100%
• Real Data 50%
• Complete Matrix 50%
• Multicollinearity 50%
• Missing Data Pattern 50%
• Data Imputation 50%
• Regression Analysis 50%