Efficient information-based criteria for model selection in quantile regression

Mathematics

• Quantile Regression 100%
• Loss Function 88%
• Model Selection 85%
• Generalized Cross-validation 77%
• Goodness of fit 59%
• Quantile 56%
• Regression Model 47%
• Model Selection Criteria 37%
• Smoothing Splines 36%
• Variance Reduction 35%
• Model Fitting 34%
• Smoothing Parameter 33%
• Cusp 30%
• Resistance 30%
• Target 24%
• Evaluate 23%
• Sample Size 22%
• Simulation Study 20%
• Observation 18%
• Performance 17%