• Corpus ID: 248496408

The impact of prior knowledge on causal structure learning

@inproceedings{Constantinou2021TheIO,
  title={The impact of prior knowledge on causal structure learning},
  author={Anthony C. Constantinou and Zhi-gao Guo and Neville Kenneth Kitson},
  year={2021}
}
: Causal Bayesian Networks (CBNs) have become a powerful technology for reasoning under uncertainty, particularly in areas that require transparency and explainability, and rely on causal assumptions that enable us to simulate the effect of intervention. The graphical structure of these models can be estimated by causal knowledge, estimated from data using structure learning algorithms, or a combination of both. Various knowledge approaches have been proposed in the literature that enable us to… 

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