A toolbox for integrated information theory.
-
Updated
Jul 24, 2024 - Python
A toolbox for integrated information theory.
A resource list for causality in statistics, data science and physics
Eliot: the logging system that tells you *why* it happened
Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.
Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling
Repository for the paper: "Causal Modelling of Heavy-Tailed Variables and Confounders with Application to River Flow".
Pairwise association measures of statistical variable types
A dataset of news headlines for detecting causalities
The rooster crows immediately before sunrise, the rooster causes the sun to rise
Causal Inference Using Quasi-Experimental Methods
Add a description, image, and links to the causation topic page so that developers can more easily learn about it.
To associate your repository with the causation topic, visit your repo's landing page and select "manage topics."