• Corpus ID: 44062098

Causal Structure Learning with Continuous Variables in Continuous Time

@article{Davis2018CausalSL,
  title={Causal Structure Learning with Continuous Variables in Continuous Time},
  author={Zachary Davis and Neil R. Bramley and Bob Rehder},
  journal={Cognitive Science},
  year={2018},
  pages={287-292}
}
Interventions, time, and continuous-valued variables are all potentially powerful cues to causation. Furthermore, when observed over time, causal processes can contain feedback and oscillatory dynamics that make inference hard. We present a generative model and framework for causal inference over continuous variables in continuous time based on Ornstein-Uhlenbeck processes. Our generative model produces a stochastic sequence of evolving variable values that manifest many dynamical properties… 

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