Data-driven slicing for dimension reduction in regressions: A likelihood-ratio approach

Keyphrases

• Dimensionality Reduction 100%
• Likelihood Ratio 100%
• Simulation Study 50%
• Asymptotic Properties 50%
• Sliced Average Variance Estimation 50%
• Inverse Regression 50%
• Sufficient Dimension Reduction 50%
• Sliced Inverse Regression 50%
• Ratio-based 50%
• Regression-based Method 50%
• Central Subspace 50%
• Log-likelihood Ratio 50%
• Reduction Response 50%
• Optimal Properties 50%
• Data-driven Scheme 50%
• Concrete Compressive Strength 50%
• Likelihood Ratio Criterion 50%

Mathematics

• Likelihood Ratio 100%
• Simulation Study 50%
• Asymptotic Property 50%
• Variance Estimation 50%
• Discretization 50%
• Log Likelihood Ratio 50%