Code for the paper "Estimating Transfer Entropy via Copula Entropy"

The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)

(Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information estimators. Supports continuous, discrete, and mixed data, as well as multiprocessing.

Knockoff-based analysis of GWAS summary statistics data

Variable Selection with Knockoffs

Tools for analyzing and quantifying effects of confounder variables on machine learning model predictions.

implementation of fair dummies

DGCIT: Double Generative Adversarial Networks for Conditional Independence Testing (JMLR, 2021)

Learning non-Gaussian graphical models

Flow-based PC algorithm for causal discovery using Normalizing Flows

Analysis code and Latex source of the manuscript describing the conditional permutation test of confounding bias in predictive modelling.

NVIDIA Nemotron-Personas-Korea 합성 데이터셋의 통계 충실도·구조 독립 감사. Phase 1-3 (단변량/이변량/PGM 구조 추론 via CMI+PC) + 외부 모델 리뷰 키트 포함.

An algorithm to create a bayesian network and check independance of the variables

Bayesian Network applied to the context of italian Fantasy Football for Fundamentals of Artificial Intelligence and Knowledge Representation class at @unibo

Code for the paper "Causal Domain Adaptation with Copula Entropy based Conditional Independence Test"

Configurable causal DAG simulator for synthetic mixed-type data and CI test benchmarks