A toolbox for integrated information theory.
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Updated
Mar 27, 2024 - Python
A toolbox for integrated information theory.
Eliot: the logging system that tells you *why* it happened
A resource list for causality in statistics, data science and physics
Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling
Causal Inference Using Quasi-Experimental Methods
Pairwise association measures of statistical variable types
The rooster crows immediately before sunrise, the rooster causes the sun to rise
Causal Inference using R. Examples are from the book Causal Inference (Chapman & Hall/CRC, 2012) by Miguel Hernán and Jamie Robins. Complete contributor/reviewer list is updated in http://www.hsph.harvard.edu/faculty/miguel-hernan/causal-inference-book/
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