Package for analyzing GWAS summary statistics data
-
Updated
Jun 4, 2024 - Julia
Package for analyzing GWAS summary statistics data
Variable Selection with Knockoffs
Learning non-Gaussian graphical models
Code for the paper "Estimating Transfer Entropy via Copula Entropy"
Tools for analyzing and quantifying effects of confounder variables on machine learning model predictions.
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.
Code for the paper "Causal Domain Adaptation with Copula Entropy based Conditional Independence Test"
DGCIT: Double Generative Adversarial Networks for Conditional Independence Testing (JMLR, 2021)
implementation of fair dummies
Bayesian Network applied to the context of italian Fantasy Football for Fundamentals of Artificial Intelligence and Knowledge Representation class at @unibo
(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)
An algorithm to create a bayesian network and check independance of the variables
Add a description, image, and links to the conditional-independence topic page so that developers can more easily learn about it.
To associate your repository with the conditional-independence topic, visit your repo's landing page and select "manage topics."