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Structural Causal Models (SCMs) provide a popular causal modeling framework.
“A Correspondence Principle for Simultaneous Equation Models”
Franklin. Fisher · 1970
Earlier work this paper cites.
“Singular Perturbation of Autonomous Linear Systems”
S.L. Campbell and N.J. Rose · 1979
Earlier work this paper cites.
“Causality and model abstraction”
Yumi Iwasaki and Herbert. Simon · 1994
Earlier work this paper cites.
“Lyapunov analysis of semistability”
Sanjay. Bhat and Dennis. Bernstein · 1999
Earlier work this paper cites.
“Causality : models, reasoning, and inference”
Judea Pearl · 2000
Earlier work this paper cites.
“Mathematical Biology I: An Introduction”
James. Murray · 2002
Earlier work this paper cites.
“Restructuring Dynamic Causal Systems in Equilibrium”
Denver Dash · 2005
Earlier work this paper cites.
“Discovering Cyclic Causal Models by Independent Components Analysis”
Gustavo Lacerda, Peter Spites, Joseph Ramsey and Patrick. Hoyer · 2008
Earlier work this paper cites.
“Modeling and analysis of mass-action kinetics”
Vijaysekhar Chellaboina, Sanjay. Bhat, Wassim. Haddad and Dennis. Bernstein · 2009
Cited alongside, same era.
“Nonnegative and Compartmental Dynamical Systems”
Wassim. Haddad, Vijaysekhar Chellaboina and Qing Hui · 2010
Cited alongside, same era.
“Learning Why Things Change: The Difference-Based Causality Learner”
Mark Voortman, Denver Dash and Marek Druzdzel · 2010
Cited alongside, same era.
“On causal discovery with cyclic additive noise models”
Joris. Mooij, Dominik Janzing, Tom Heskes and Bernhard Schölkopf · 2011
Cited alongside, same era.
“Global Stability of Full Open Reversible Michaelis-Menten Reactions”
Ismail Belgacem and Jean-Luc Gouzé · 2012
Cited alongside, same era.
“Learning Linear Cyclic Causal Models with Latent Variables”
Antti Hyttinen, Frederick Eberhardt and Patrik. Hoyer · 2012
Cited alongside, same era.
“Markov Properties for Graphical Models with Cycles and Latent Variables”
Patrick Forré and Joris. Mooij · 2017
Later among the works it cites.
“Random Ordinary Differential Equations and Their Numerical Solution”
Xiaoying Han and Peter. Kloeden · 2017
Later among the works it cites.
“Causal Consistency of Structural Equation Models” *equal contribution
P.. Rubenstein*, S. Weichwald*, S. Bongers, J.. Mooij, D. Janzing, M. Grosse-Wentrup and B. Schölkopf · 2017
Later among the works it cites.
“From Random Differential Equations to Structural Causal Models: the stochastic case”
Stephan Bongers and Joris. Mooij · 2018
Closest in time.
“Theoretical Aspects of Cyclic Structural Causal Models”
Stephan Bongers, Jonas Peters, Bernhard Schölkopf and Joris. Mooij · 2018
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“From Ordinary Differential Equations to Structural Causal Models: the deterministic case”
Joris. Mooij, Dominik Janzing and Bernhard Schölkopf · 2013
Cited alongside, same era.
“Causal Interpretation of Stochastic Differential Equations”
Alexander Sokol and Niels Hansen · 2014
Cited alongside, same era.
Closest in time.
“Causal Learning for Partially Observed Stochastic Dynamical Systems”
Søren Mogensen, Daniel Malinsky and Niels Hansen · 2018
Closest in time.
“From Deterministic ODEs to Dynamic Structural Causal Models”
Paul. Rubenstein, Stephan Bongers, Bernhard Schölkopf and Joris. Mooij · 2018
Closest in time.