Causal

Constructing Causal Expertise is a Process, Not an Event13 min read·20 hours agoCausal modeling is an umbrella term for a big selection of methods that allow us to model the results of our actions...

A beginner’s guide to causal inference methods: randomized controlled trials, difference-in-differences, synthetic control, and A/B testingThis text is meant for beginners who desire a comprehensive introduction to causality and causal inference methods, explained with...

Exploring and exploiting the seemingly innocent theorem behind Double Machine Learning27 min read·23 hours agoCausal inference, and specifically causal machine learning, is an indispensable tool that can assist us make decisions by understanding cause...

Library 1: Bnlearn for Python.Bnlearn is a Python package that's suited to creating and analyzing Bayesian Networks, for discrete, mixed, and continuous data sets . It's designed to be ease-of-use and comprises the most-wanted...