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  • 1. Definition of concepts
  • 2. GLM methods
    • 2.1. Desparsified Lasso
    • 2.2. Knockoffs
  • 3. Model-agnostic methods
    • 3.1. Total Sobol Index
    • 3.2. Leave-One-Covariate-Out
    • 3.3. Conditional Feature Importance
    • 3.4. Permutation Feature Importance
  • 4. Marginal methods
    • 4.1. Leave-One-Covariate-In
  • 5. Tools for visualization
  • 6. Measuring the importance of feature groups
  • 7. Inference in high dimension
  • User guide

User guide#

TODO: define the target audience of the user guide.

Table of contents#

  • 1. Definition of concepts
  • 2. GLM methods
    • 2.1. Desparsified Lasso
    • 2.2. Knockoffs
  • 3. Model-agnostic methods
    • 3.1. Total Sobol Index
    • 3.2. Leave-One-Covariate-Out
    • 3.3. Conditional Feature Importance
      • 3.3.1. Theoretical index
      • 3.3.2. Estimation procedure
      • 3.3.3. Inference
      • 3.3.4. Regression example
      • 3.3.5. Classification example
      • 3.3.6. References
    • 3.4. Permutation Feature Importance
  • 4. Marginal methods
    • 4.1. Leave-One-Covariate-In
  • 5. Tools for visualization
  • 6. Measuring the importance of feature groups
  • 7. Inference in high dimension

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1. Definition of concepts

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