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Pigeons.jl

Dev Build Status Coverage ColPrac: Contributor's Guide on Collaborative Practices for Community Packages arXiv

Pigeons is a Julia package to approximate challenging posterior distributions, and more broadly, Lebesgue integration problems. Pigeons can be used in a multi-threaded context, and/or distributed over hundreds or thousands of MPI-communicating machines.

For more information, see the documentation.

Funding and acknowledgments

The development and testing of Pigeons.jl is supported by the Canadian Statistical Sciences Institute (CANSSI), the Natural Sciences and Engineering Research Council of Canada Discovery Grant and Vanier programs, by the University of British Columbia Advanced Research Computing, and compute credits from Oracle. The authors would like to thank Roman Baranowski, Jacob Boschee and Alyza Rosario for their help with MPI.

Note

We are recruiting graduate students! Click here for more information.

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How to cite Pigeons

Our team works hard to maintain and improve the Pigeons package. Please consider citing our work by referring to our Pigeons paper.

BibTeX code for citing Pigeons

@article{surjanovic2023pigeons,
  title={Pigeons.jl: {D}istributed sampling from intractable distributions},
  author={Surjanovic, Nikola and Biron-Lattes, Miguel and Tiede, Paul and Syed, Saifuddin and Campbell, Trevor and Bouchard-C{\^o}t{\'e}, Alexandre},
  journal={arXiv:2308.09769},
  year={2023}
}

APA
Surjanovic, N., Biron-Lattes, M., Tiede, P., Syed, S., Campbell, T., & Bouchard-Côté, A. (2023). Pigeons.jl: Distributed sampling from intractable distributions. arXiv:2308.09769.