Citing
======

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

The UAI paper :cite:`Markham_2020_UAI` provides basic definitions and first results for MeDIL causal models.

.. code-block:: bibtex

   @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 :cite:`Markham_2020_PGM` is specifically associated with the ``MeDIL`` Python package.

.. code-block:: bibtex

   @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 :cite:`markham2023neuro` further develops the MeDIL causal model framework, more explicitly connects it to factor analysis, and extends the framework to a deep generative model.

.. code-block:: bibtex

   @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}
   }