Sufficient dimension reduction via inverse regression: A minimum discrepancy approach

Mathematics

• Asymptotics 100%
• Chi-Squared Distribution 50%
• Conditional Independence 50%
• Desirable Property 50%
• Independence Hypothesis 50%
• Inference Method 50%
• Null 50%
• Objective Function 50%
• Reduction Method 50%
• Regression Estimator 100%
• Simulation Study 50%
• Squared Test 50%
• Test Statistic 100%
• Variance Estimation 50%

Keyphrases

• Asymptotic Efficiency 20%
• Asymptotic null Distribution 20%
• Chi-square Distribution 20%
• Chi-square Test 20%
• Computational Algorithm 20%
• Conditional Independence 20%
• Dimension Reduction Subspace 20%
• Dimensionality Reduction 20%
• Independence Hypothesis 20%
• Inference Methods 20%
• Inverse Regression 100%
• Minimum Discrepancy 100%
• Quadratic Objective Function 20%
• Regression Estimator 40%
• Selected Subset 20%
• Simulation Study 20%
• Sliced Average Variance Estimation 20%
• Sliced Inverse Regression 20%
• Sufficient Dimension Reduction 100%
• Test Statistic 40%