From Random Differential Equations to Structural Causal Models: the stochastic case.
Stephan BongersJoris M. MooijPublished in: CoRR (2018)
Keyphrases
- differential equations
- causal models
- structural model
- brownian motion
- feed forward artificial neural networks
- causal discovery
- dynamical systems
- conditional independence
- numerical solution
- boundary value problem
- causal reasoning
- ordinary differential equations
- optimal control problems
- causal inference
- causal relationships
- numerical methods
- nonlinear differential equations
- causal relations
- partial differential equations
- directed acyclic graph
- causal structure
- image analysis
- difference equations
- latent variables
- structural equation models
- natural images