From Ordinary Differential Equations to Structural Causal Models: the deterministic case

2013/04/30 by Joris M. Mooij, Mooij, Joris M., Dominik Janzing +3
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Computational Drug Discovery Methods #FOS: Computer and information sciences #Metabolomics and Mass Spectrometry Studies #Other Statistics (stat.OT) #cs.AI #stat.OT

paper · pdf · doi:10.48550/arxiv.1304.7920

Submitted to UAI 2013

arxiv created 2013/04/30 · openalex publication_date 2013/04/30 · arxiv updated 2013/05/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We show how, and under which conditions, the equilibrium states of a first-order Ordinary Differential Equation (ODE) system can be described with a deterministic Structural Causal Model (SCM). Our exposition sheds more light on the concept of causality as expressed within the framework of Structural Causal Models, especially for cyclic models.

Citations

• A Discovery Algorithm for Directed Cyclic Graphs
• Modeling Discrete Interventional Data using Directed Cyclic Graphical Models

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