Section on Causal Inference

[tp2750]

• Convert the page Probabilistic Programming to a topic
• keep current content as probabilistic_programming
• New page on Causal Inference

Sources

Causal inference in Julia 2025

• Hernán & Robins book Causal Inference: What If
• Review paper: Review of Causal Discovery Methods Based on Graphical Models
• General:
  • CausalInference.jl (backdoor criterion, adjustment set search),
  • CausalTables.jl,
  • Turing.jl (Bayesian inference),
  • GLM.jl (see e.g. juliastats.org for more statistical tools)
• Machine learning estimators:
  • TMLE.jl (targeted minimum loss-based estimation),
  • CausalELM.jl (extreme learning machine -based estimators)
• Synthetic control estimators:
  • SynthControl.jl
• Differences-in-differences (DID) method:
  • DiffinDiffs.jl,
  • Synthdid.jl
• Regression discontinuity method:
  • RegressionDiscontinuity.jl
  • Data-specific:
    • QLD.jl (quasi-long differencing panel data estimator)
• Causal discovery algorithms: CausalInference.jl

In comments:

• https://discourse.julialang.org/t/causal-inference-in-julia-2025/126001/2
  • GitHub - zenna/Omega.jl: Causal, Higher-Order, Probabilistic Programming by @zennatavares or
  • GitHub - TuringLang/Turing.jl: Bayesian inference with probabilistic programming. ?
• CausalInference example: https://gist.github.com/mschauer/f170c29cf01c7d5d43b6f7be70e0b68e
• https://discourse.julialang.org/t/causal-inference-in-julia-2025/126001/4?u=tp2750
  • GitHub - JuliaDiffinDiffs/DiffinDiffs.jl: A suite of Julia packages for difference-in-differences
  • GitHub - nignatiadis/RegressionDiscontinuity.jl: Estimation for sharp regression discontinuity designs.
  • Home · SynthControl (Disclaimer: I’m the main author of this, help very much wanted)
  • GitHub - d2cml-ai/Synthdid.jl: Synthetic difference in differences - Julia implementation of https://synth-inference.github.io/synthdid/
  • GitHub - kylebutts/QLD.jl: Quasi-long Differencing Panel Data Estimator
• https://discourse.julialang.org/t/causal-inference-in-julia-2025/126001/8?u=tp2750
  • CausalTables.jl
• https://discourse.julialang.org/t/causal-inference-in-julia-2025/126001/10?u=tp2750
  • TMLE.jl

Turing.jl for Causal Inference model

trying to translate the model from McElreath’s Causal Inference workshop (youtube, github) to Turing.jl

CausalELM.jl: extreme learning machines for causal inference

ANN:CausalInference.jl - Causal Inference in Julia

• Associations.jl

[ANN]: RxInfer.jl 2.0 Julia package for automated Bayesian inference on a factor graph with reactive message passing

• https://examples.rxinfer.com/categories/basic_examples/bayesian_networks/

CausalTables.jl

Paper: https://joss.theoj.org/papers/10.21105/joss.07580.pdf

R

• https://cran.r-project.org/web/views/CausalInference.html

• https://www.r-causal.org/
  Books:

• https://mixtape.scunning.com/

• https://theeffectbook.net/

• https://towardsdev.com/causal-discovery-using-julia-a-brief-introduction-a-simulation-and-a-possible-use-case-d2f2be2bfc02