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

(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.

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

Knockoff-based analysis of GWAS summary statistics data

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

Variable Selection with Knockoffs

implementation of fair dummies

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

Learning non-Gaussian graphical models

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

Flow-based PC algorithm for causal discovery using Normalizing Flows

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

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

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