English

From Deterministic ODEs to Dynamic Structural Causal Models

Artificial Intelligence 2022-08-31 v2

Abstract

Structural Causal Models are widely used in causal modelling, but how they relate to other modelling tools is poorly understood. In this paper we provide a novel perspective on the relationship between Ordinary Differential Equations and Structural Causal Models. We show how, under certain conditions, the asymptotic behaviour of an Ordinary Differential Equation under non-constant interventions can be modelled using Dynamic Structural Causal Models. In contrast to earlier work, we study not only the effect of interventions on equilibrium states; rather, we model asymptotic behaviour that is dynamic under interventions that vary in time, and include as a special case the study of static equilibria.

Keywords

Cite

@article{arxiv.1608.08028,
  title  = {From Deterministic ODEs to Dynamic Structural Causal Models},
  author = {Paul K. Rubenstein and Stephan Bongers and Bernhard Schoelkopf and Joris M. Mooij},
  journal= {arXiv preprint arXiv:1608.08028},
  year   = {2022}
}

Comments

Accepted for publication in Conference on Uncertainy in Artificial Intelligence