Citation
========

If you use :py:obj:`approxposterior`, please cite the following:

*Fleming and VanderPlas (2018)*

.. code-block:: bash

  @ARTICLE{Fleming2018,
     author = {{Fleming}, D.~P. and {VanderPlas}, J.},
      title = "{approxposterior: Approximate Posterior Distributions in Python}",
    journal = {The Journal of Open Source Software},
       year = 2018,
      month = sep,
     volume = 3,
      pages = {781},
        doi = {10.21105/joss.00781},
     adsurl = {http://adsabs.harvard.edu/abs/2018JOSS....3..781P},
    adsnote = {Provided by the SAO/NASA Astrophysics Data System}
  }

*Kandasamy et al. (2017)*

.. code-block:: bash

  @article{Kandasamy2017,
  title = "Query efficient posterior estimation in scientific experiments via Bayesian active learning",
  journal = "Artificial Intelligence",
  volume = "243",
  pages = "45 - 56",
  year = "2017",
  issn = "0004-3702",
  doi = "https://doi.org/10.1016/j.artint.2016.11.002",
  url = "http://www.sciencedirect.com/science/article/pii/S0004370216301394",
  author = "Kirthevasan Kandasamy and Jeff Schneider and Barnabás Póczos",
  keywords = "Posterior estimation, Active learning, Gaussian processes"}

*Wang & Li (2018)*

.. code-block:: bash

  @article{Wang2018,
  author = {Wang, Hongqiao and Li, Jinglai},
  title = {Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions},
  journal = {Neural Computation},
  volume = {30},
  number = {11},
  pages = {3072-3094},
  year = {2018},
  doi = {10.1162/neco\_a\_01127},
  URL = { https://doi.org/10.1162/neco_a_01127},
  eprint = {https://doi.org/10.1162/neco_a_01127}}