awesome-causalinference
github.com/rmoraffa/awesome-causalinference ↗A curated list of Causal Inference tutorial, software, twitter, etc.
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me confrences resources from awesome-causalinference"
Installation instructions →What's inside
Confrences
- ACIC 2018 - Atlantic Causal Inference Conference
Atlantic Causal Inference Conference
- ACIC 2019 - Atlantic Causal Inference Conference
Atlantic Causal Inference Conference
- EuroCim 2018 - European Causal Inference Meeting
European Causal Inference Meeting
- WHY19 - Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AI
Beyond Curve Fitting: Causation, Counterfactuals, and Imagination-based AI
Blog Posts
Tutorials
- Amit Sharma and Emre Kıcıman KDD 2018 Causal Inference Tutorial
- Causal forests - A tutorial in high-dimensional causal inference by Ian Lundberg
A tutorial in high-dimensional causal inference by Ian Lundberg
Toolboxes - Environment
- CausalImpact
R package for causal inference in time series
- Causallib
IBM causal inference Python package
- dagitty
browser-based environment for creating, editing, and analyzing causal models.
- DoWhy
Microsoft causal inference Python package
- MatchIt
R package for nonparametric preprocessing for parametric causal inference
- zEpid
Epidemiology analysis package including effect measure plots and causal inference tools.
Books
- Causal Inference - Hernán MA, Robins JM (2019)
Hernán MA, Robins JM (2019)
- Causal Inference in Statistics: A Primer - Judea Pearl
Judea Pearl
- Causality - Judea Pearl
Judea Pearl
- Elements of Causal Inference - Jonas Peters, Dominik Janzing and Bernhard Schölkopf
Jonas Peters, Dominik Janzing and Bernhard Schölkopf
- The Book of Why - Judea Peral
Judea Peral
Technical and white papers
Comics
Showing a sample of 29 resources. View the full list on GitHub →