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author = {Bishop, Christopher M},
doi = {10.1117/1.2819119},
eprint = {0-387-31073-8},
isbn = {978-0387310732},
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journal = {Pattern Recognition},
keywords = {parametric-sampling},
mendeley-groups = {BCS 504/Causal Inference},
mendeley-tags = {parametric-sampling},
pages = {738},
pmid = {8943268},
title = {{Pattern Recognition and Machine Learning}},
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title = {{Information Geometry and Its Applications}},
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title = {{Probabilistic programming in Python using PyMC3}},
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title = {PyTorch: An Imperative Style, High-Performance Deep Learning Library},
author = {Paszke, Adam and Gross, Sam and Massa, Francisco and Lerer, Adam and Bradbury, James and Chanan, Gregory and Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and Antiga, Luca and Desmaison, Alban and Kopf, Andreas and Yang, Edward and DeVito, Zachary and Raison, Martin and Tejani, Alykhan and Chilamkurthy, Sasank and Steiner, Benoit and Fang, Lu and Bai, Junjie and Chintala, Soumith},
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} 
@Article{numpy,
 title         = {Array programming with {NumPy}},
 author        = {Charles R. Harris and K. Jarrod Millman and St{\'{e}}fan J.
                 van der Walt and Ralf Gommers and Pauli Virtanen and David
                 Cournapeau and Eric Wieser and Julian Taylor and Sebastian
                 Berg and Nathaniel J. Smith and Robert Kern and Matti Picus
                 and Stephan Hoyer and Marten H. van Kerkwijk and Matthew
                 Brett and Allan Haldane and Jaime Fern{\'{a}}ndez del
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                 G{\'{e}}rard-Marchant and Kevin Sheppard and Tyler Reddy and
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 volume        = {585},
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 publisher     = {Springer Science and Business Media {LLC}},
 url           = {https://doi.org/10.1038/s41586-020-2649-2}
}
@ARTICLE{scipy,
  author  = {Virtanen, Pauli and Gommers, Ralf and Oliphant, Travis E. and
            Haberland, Matt and Reddy, Tyler and Cournapeau, David and
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            {van Mulbregt}, Paul and {SciPy 1.0 Contributors}},
  title   = {{{SciPy} 1.0: Fundamental Algorithms for Scientific
            Computing in Python}},
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  year    = {2020},
  volume  = {17},
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  doi     = {10.1038/s41592-019-0686-2},
}
@ARTICLE{matplotlib,
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}
@misc{gnu_parallel,
      author       = {Tange, Ole},
      title        = {GNU Parallel 20201222 ('Vaccine')},
      month        = Dec,
      year         = 2020,
      note         = {{GNU Parallel is a general parallelizer to run
                       multiple serial command line programs in parallel
                       without changing them.}},
      publisher    = {Zenodo},
      doi          = {10.5281/zenodo.4381888},
      url          = {https://doi.org/10.5281/zenodo.4381888}
}

@misc{Braverman2011,
  author        = {Braverman, Mark and Bhowmick, Abhishek},
  title         = {Convexity/Concavity of Mutual Information},
  month         = {September},
  year          = {2011},
  url           = {https://www.cs.princeton.edu/courses/archive/fall11/cos597D/L04.pdf}
}
@article{Myung2000,
author = {Myung, In Jae and Balasubramanian, Vijay and Pitt, Mark A},
file = {:Users/richard/Library/Application Support/Mendeley Desktop/Downloaded/Myung, Balasubramanian, Pitt - 2000 - Counting probability distributions Differential geometry and model selection.pdf:pdf},
journal = {PNAS},
keywords = {information-geometry},
mendeley-tags = {information-geometry},
number = {21},
pages = {11170--11175},
title = {{Counting probability distributions: Differential geometry and model selection}},
url = {http://www.pnas.org/content/97/21/11170},
volume = {97},
year = {2000}
}
@misc{posteriordb,
author = {Magnusson, M. and B{\"{u}}rkner, Paul-Christian and Vehtari, Aki},
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url = {https://github.com/stan-dev/posteriordb},
year = {2021}
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@article{Hobert1996,
author = {Hobert, James P. and Casella, George},
doi = {10.1080/01621459.1996.10476714},
file = {:Users/richard/Documents/papers/2291572.pdf:pdf},
issn = {1537274X},
journal = {Journal of the American Statistical Association},
keywords = {Animal breeding,Compatibility,Functional compatibility,Improper posterior,Markov chain,Monte Carlo,Variance components},
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pages = {1461--1473},
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@article{Besag1995,
author = {Besag, Julian and Green, Peter and Higdon, David and Mengersen, Kerrie},
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file = {:Users/richard/Documents/papers/2246228.pdf:pdf},
issn = {08834237},
journal = {Statistical Science},
keywords = {Agricultural field experiments,Bayesian inference,Conditional distributions,Deconvolution,Gamma-camera imaging,Gibbs sampler,Hastings algorithms,Image analysis,Logistic regression,Markov chain monte carlo,Markov random fields,Metropolis method,Prostate cancer,Simultaneous credible regions,Spatial statistics,Time reversibility,Unobserved covariates,Variety trials},
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