Sparse sliced inverse regression for high dimensional data analysis

Keyphrases

• Semi-parametric 100%
• High-dimensional Data 100%
• Dimensionality Reduction 100%
• Sliced Inverse Regression 100%
• High-dimensional Data Analysis 100%
• Single-index Model 100%
• Sparse Sliced Inverse Regression 100%
• Simulation Study 50%
• Metabolomics 50%
• Regression Method 50%
• Eigenvector 50%
• Model Estimation 50%
• State-of-the-art Techniques 50%
• Estimation Approaches 50%
• Real Data Applications 50%
• Selection Performance 50%
• Dantzig Selector 50%
• Decomposition Problem 50%
• Base Matrix 50%
• Row-sparsity 50%
• Generalized Eigenvalue Decomposition 50%
• Model Parsimony 50%
• Depression Studies 50%
• Method Effectiveness 50%

Mathematics

• Dimensional Data 100%
• Parametric 66%
• Multi-Index 66%
• Simulation Study 33%
• Matrix 33%
• Estimation Approach 33%
• Eigenvalue Decomposition 33%
• Real Data 33%
• Interpretability 33%
• Eigenvector 33%