Citing

If you make use of the MeDIL package or associated theory, please cite the relevant subset of the following papers:

The UAI paper [MGW20] provides basic definitions and first results for MeDIL causal models.

@Article{Markham_2020_UAI,
  author       = {Alex Markham and Moritz Grosse-Wentrup},
  title        = {Measurement Dependence Inducing Latent Causal Models},
  year         = 2020,
  issn         = {2640-3498},
  url          = {http://www.auai.org/uai2020/proceedings/244_main_paper.pdf},
  journal      = {Conference on Uncertainty in Artificial Intelligence (UAI)},
  publisher    = {PMLR}
}

The PGM software demonstration [MCGW20] is specifically associated with the MeDIL Python package.

@Article{Markham_2020_PGM,
  author       = {Alex Markham and Aditya Chivukula and Moritz Grosse-Wentrup},
  title        = {MeDIL: A Python Package for Causal Modelling},
  year         = 2020,
  issn         = {2640-3498},
  journal      = {International Conference on Probabilistic Graphical Models (PGM) Software Demonstration},
  publisher    = {PMLR}
}

The arXiv preprint [MLAS23] further develops the MeDIL causal model framework, more explicitly connects it to factor analysis, and extends the framework to a deep generative model.

@misc{markham2023neuro,
  author =       {Alex Markham and Mingyu Liu and Bryon Aragam and Liam Solus},
  title =        {Neuro-Causal Factor Analysis},
  year =         2023,
  note =         {preprint, arXiv:2305.19802 [stat.ML]},
  url =          {https://arxiv.org/abs/2305.19802}
}