Eliot: the logging system that tells you *why* it happened
A toolbox for integrated information theory.
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
A dataset of news headlines for detecting causalities
The rooster crows immediately before sunrise, the rooster causes the sun to rise
Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.
Repository for the paper: "Causal Modelling of Heavy-Tailed Variables and Confounders with Application to River Flow".
This repository explores Market Mix Modeling to analyze the causal impact of marketing strategies on sales performance using statistical analysis and OLS regression. It helps businesses optimize campaign investments by distinguishing causation from correlation.
Associated repository for the "Chaos Theory: Unlocking the Secrets of the Butterfly Effect!" 15 minute discourse podcast on YouTube!
Domain: Sales; Time series analysis is an important skill for a data analyst.especially if you work in industries where data changes over time (e.g., finance, economics, operations, sales, or marketing).
CausalTrail - a tool for performing causal reasoning using the do-calculus
To associate your repository with the causation topic, visit your repo's landing page and select "manage topics."