Skip to main content
Ctrl+K
HiDimStat - Home HiDimStat - Home
  • API
  • User guide
  • Examples Gallery
  • Glossary and Notations
    • What’s new
    • Developer Documentation
  • GitHub
  • API
  • User guide
  • Examples Gallery
  • Glossary and Notations
  • What’s new
  • Developer Documentation
  • GitHub

Section Navigation

  • Visualization with Partial Dependency Plots
  • Conditional Feature Importance (CFI) on the wine dataset
  • Leave-One-Covariate-Out (LOCO) feature importance with different regression models
  • Distilled Conditional Randomization Test (dCRT) using Lasso vs Random Forest learners
  • Feature Importance on diabetes dataset using cross-validation
  • Conditional vs Marginal Importance on the XOR dataset
  • Variable Selection Under Model Misspecification
  • Knockoff aggregation
  • Conditional Randomization Test for Sparse Logistic Regression
  • Pixel-wise inference on digit classification
  • Support Recovery on fMRI Data
  • Controlled multiple variable selection on the Wisconsin breast cancer dataset
  • Measuring Individual and Group Variable Importance for Classification
  • Pitfalls of Permutation Feature Importance (PFI) on the California Housing Dataset
  • Ensemble Clustered Inference on 2D Data
  • Examples Gallery

Examples Gallery#

Visualization with Partial Dependency Plots

Visualization with Partial Dependency Plots

Conditional Feature Importance (CFI) on the wine dataset

Conditional Feature Importance (CFI) on the wine dataset

Leave-One-Covariate-Out (LOCO) feature importance with different regression models

Leave-One-Covariate-Out (LOCO) feature importance with different regression models

Distilled Conditional Randomization Test (dCRT) using Lasso vs Random Forest learners

Distilled Conditional Randomization Test (dCRT) using Lasso vs Random Forest learners

Feature Importance on diabetes dataset using cross-validation

Feature Importance on diabetes dataset using cross-validation

Conditional vs Marginal Importance on the XOR dataset

Conditional vs Marginal Importance on the XOR dataset

Variable Selection Under Model Misspecification

Variable Selection Under Model Misspecification

Knockoff aggregation

Knockoff aggregation

Conditional Randomization Test for Sparse Logistic Regression

Conditional Randomization Test for Sparse Logistic Regression

Pixel-wise inference on digit classification

Pixel-wise inference on digit classification

Support Recovery on fMRI Data

Support Recovery on fMRI Data

Controlled multiple variable selection on the Wisconsin breast cancer dataset

Controlled multiple variable selection on the Wisconsin breast cancer dataset

Measuring Individual and Group Variable Importance for Classification

Measuring Individual and Group Variable Importance for Classification

Pitfalls of Permutation Feature Importance (PFI) on the California Housing Dataset

Pitfalls of Permutation Feature Importance (PFI) on the California Housing Dataset

Ensemble Clustered Inference on 2D Data

Ensemble Clustered Inference on 2D Data

Download all examples in Python source code: examples_python.zip

Download all examples in Jupyter notebooks: examples_jupyter.zip

Gallery generated by Sphinx-Gallery

previous

7. Inference in high dimension

next

Visualization with Partial Dependency Plots

This Page

  • Show Source

© Copyright 2025, The hidimstat developers.

Created using Sphinx 8.2.3.

Built with the PyData Sphinx Theme 0.16.1.