Causal Graphs, Markov Properties and Do-calculus for Stochastic Differential Equations

arXiv:2607.12140 · math.ST, stat.ML · Submitted 2026-07-13 · Read on arXiv

Philip Boeken, Joris M. Mooij

math.ST, stat.ML

Submitted: 2026-07-13

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Conditional Independence — 32× in this paper · explained in 2 episodes
• Causal Discovery — 29× in this paper · explained in 3 episodes
• Faithfulness — 13× in this paper · explained in 2 episodes
• Fixed Point — 13× in this paper · explained in 2 episodes
• Causal Inference — 11× in this paper · explained in 5 episodes
• Selection Bias — 11× in this paper · explained in 5 episodes
• Structural Causal Model — 7× in this paper
• Abundance — 4× in this paper · explained in 1 episode
• Stochastic Differential Equations (SDEs) — 4× in this paper · explained in 2 episodes
• Latent Variables — 3× in this paper · explained in 2 episodes
• Topological Order — 3× in this paper · explained in 4 episodes
• Composition — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Non-Markovianity — 2× in this paper · explained in 3 episodes
• Sparsity — 2× in this paper · explained in 5 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Clarity — 1× in this paper · explained in 3 episodes
• Diffusion Processes — 1× in this paper · explained in 2 episodes
• Feedback Loop — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Koopman Operator — 1× in this paper · explained in 4 episodes
• Longitudinal Data — 1× in this paper · explained in 2 episodes
• Maximal Almost Ancestral Graph — 1× in this paper
• Modularity — 1× in this paper · explained in 9 episodes
• Stochastic Dynamics — 1× in this paper · explained in 3 episodes
• Structural Causal Model (SCM) — 1× in this paper · explained in 5 episodes

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