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paper/paper.bib

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@article{Carpenter2017,
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author = {Carpenter, Bob and Gelman, Andrew and Hoffman, Matthew D and Lee, Daniel and Goodrich, Ben and Betancourt, Michael and Brubaker, Marcus and Guo, Jiqiang and Li, Peter and Riddell, Allen},
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journal = {Journal of statistical software},
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number = {1},
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publisher = {Columbia Univ., New York, NY (United States); Harvard Univ., Cambridge, MA~{\ldots}},
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title = {Stan: A probabilistic programming language},
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volume = {76},
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year = {2017}
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author = {Carpenter, Bob and Gelman, Andrew and Hoffman, Matthew D and Lee, Daniel and Goodrich, Ben and Betancourt, Michael and Brubaker, Marcus and Guo, Jiqiang and Li, Peter and Riddell, Allen},
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journal = {Journal of statistical software},
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number = {1},
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publisher = {Columbia Univ., New York, NY (United States); Harvard Univ., Cambridge, MA~{\ldots}},
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title = {Stan: A probabilistic programming language},
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volume = {76},
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year = {2017}
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}
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@article{Carpenter2018,
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title={Predator-Prey Population Dynamics: the Lotka-Volterra model in Stan},
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volume={5},
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url={https://mc-stan.org/learn-stan/case-studies/lotka-volterra-predator-prey.html},
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journal={Stan Case Studies},
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author={Carpenter, Bob},
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year={2018},
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month={Jan}
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}
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@webpage{Stan2025,
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author = {{Stan Development Team}},
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lastchecked = {October 2025},
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month = {December},
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title = {About {S}tan},
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url = {https://mc-stan.org/},
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year = {2025},
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bdsk-url-1 = {https://mc-stan.org/}
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author = {{Stan Development Team}},
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lastchecked = {October 2025},
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month = {December},
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title = {About {S}tan},
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url = {https://mc-stan.org/},
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year = {2025},
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bdsk-url-1 = {https://mc-stan.org/}
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}
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@article{Roualdes2023,
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}
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@misc{tinystan2025,
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author = {Ward, Brian},
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title = {tinystan: Easy, minimal interface to the Stan samplers in several languages},
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year = {2025},
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publisher = {GitHub},
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journal = {GitHub repository},
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url = {https://github.com/WardBrian/tinystan}
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author = {Ward, Brian},
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title = {tinystan: Easy, minimal interface to the Stan samplers in several languages},
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year = {2025},
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publisher = {GitHub},
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journal = {GitHub repository},
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url = {https://github.com/WardBrian/tinystan}
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}

paper/paper.md

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---
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title: 'stan-playground: Run Stan models directly in your browser.'
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title: "stan-playground: Run Stan models directly in your browser."
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tags:
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- WebAssembly
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- Stan
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equal-contrib: true
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affiliation: 1
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affiliations:
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- name: Center for Computational Mathematics, Flatiron Institute
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index: 1
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ror: 00sekdz59
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- name: Center for Computational Mathematics, Flatiron Institute
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index: 1
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ror: 00sekdz59
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date: 10 October 2025
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bibliography: paper.bib
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---
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Stan is difficult to install.
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# Examples
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Stan-Playground provides several example programs on the left
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sidebar of the home page at various levels of complexity, spanning from a basic
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linear regression on fake data to
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[a reimplementation of the model and analysis](https://stan-playground.flatironinstitute.org/?project=https://gist.github.com/WardBrian/d8ab811b137085f154b6145d3c36cbc4)
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from @Carpenter2018.
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<!-- # Mathematics
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Single dollars ($) are required for inline mathematics e.g. $f(x) = e^{\pi/x}$

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