From Ordinary Differential Equations to Structural Causal Models: The Deterministic Case

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.

Cite

Text

Mooij et al. "From Ordinary Differential Equations to Structural Causal Models: The Deterministic Case." Conference on Uncertainty in Artificial Intelligence, 2013.

Markdown

[Mooij et al. "From Ordinary Differential Equations to Structural Causal Models: The Deterministic Case." Conference on Uncertainty in Artificial Intelligence, 2013.](https://mlanthology.org/uai/2013/mooij2013uai-ordinary/)

BibTeX

@inproceedings{mooij2013uai-ordinary,
  title     = {{From Ordinary Differential Equations to Structural Causal Models: The Deterministic Case}},
  author    = {Mooij, Joris M. and Janzing, Dominik and Schölkopf, Bernhard},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {2013},
  url       = {https://mlanthology.org/uai/2013/mooij2013uai-ordinary/}
}