causality.bib

@book{pearl09,
title={Causality},
author={Pearl, Judea},
year={2009},
publisher={Cambridge university press}
}

@article{tikka17,
title={Identifying causal effects with the {R} package causaleffect},
author={Tikka, Santtu and Karvanen, Juha},
journal={J. Stat. Softw},
year={2017}
}

@article{spirtes10,
title={Automated search for causal relations: Theory and practice},
author={Spirtes, Peter and Glymour, Clark and Scheines, Richard and Tillman, Robert},
year={2010},
journal={Carnegie Mellon University}
}

@article{zheng18,
title={DAGs with NO TEARS: Continuous optimization for structure learning},
author={Zheng, Xun and Aragam, Bryon and Ravikumar, Pradeep K and Xing, Eric P},
journal={Advances in Neural Information Processing Systems},
volume={31},
pages={9472--9483},
year={2018}
}

@inproceedings{Tian02,
  title={A general identification condition for causal effects},
  author={Tian, Jin and Pearl, Judea},
  booktitle={Aaai/iaai},
  pages={567--573},
  year={2002}
}

@book{Verma88,
  title={Influence diagrams and d-separation},
  author={Verma, Thomas and Pearl, Judea},
  year={1988},
  publisher={UCLA, Computer Science Department}
}

@article{Ramsey17,
  title={A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images},
  author={Ramsey, Joseph and Glymour, Madelyn and Sanchez-Romero, Ruben and Glymour, Clark},
  journal={International journal of data science and analytics},
  volume={3},
  number={2},
  pages={121--129},
  year={2017},
  publisher={Springer}
}

@article{Shimizu06,
  title={A linear non-Gaussian acyclic model for causal discovery.},
  author={Shimizu, Shohei and Hoyer, Patrik O and Hyv{\"a}rinen, Aapo and Kerminen, Antti and Jordan, Michael},
  journal={Journal of Machine Learning Research},
  volume={7},
  number={10},
  year={2006}
}

@article{Chickering97,
  title={A clincian's tools for analyzing non-compliance},
  author={Chickering, David and Pearl, Judea},
  journal={Computing Science and Statisitcs},
  volume={29},
  number={2},
  year={1997}
}

@incollection{Simon77,
  title={Causal ordering and identifiability},
  author={Simon, Herbert A},
  booktitle={Models of Discovery},
  pages={53--80},
  year={1977},
  publisher={Springer}
}

@article{Nayak94,
  title={Causal approximations},
  author={Nayak, P Pandurang},
  journal={Artificial Intelligence},
  volume={70},
  number={1-2},
  pages={277--334},
  year={1994},
  publisher={Elsevier}
}

@misc{Halpern10,
  title={Actual causation and the art of modelling In Dechter JHR, Geffner H (Ed.), Heuristics, Probability, and Causality: A Tribute to Judea Pearl (pp. 383--406)},
  author={Halpern, JY and Hitchcock, CR},
  year={2010},
  publisher={London: College Publications}
}

@article{Halpern15,
  title={A modification of the Halpern-Pearl definition of causality},
  author={Halpern, Joseph Y},
  journal={arXiv preprint arXiv:1505.00162},
  year={2015}
}