Software repository
Paper review
Download paper
Software archive
Review
Editor: @dfm (all papers)
Reviewers: @kazewong (all reviews), @marylou-gabrie (all reviews)
Authors
Minas Karamanis (0000-0001-9489-4612), David Nabergoj (0000-0001-6882-627X), Florian Beutler (0000-0003-0467-5438), John A. Peacock (0000-0002-1168-8299), Uroš Seljak (0000-0003-2262-356X)
Citation
Karamanis et al., (2022). pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology. Journal of Open Source Software, 7(79), 4634, https://doi.org/10.21105/joss.04634
@article{Karamanis2022,
doi = {10.21105/joss.04634},
url = {https://doi.org/10.21105/joss.04634},
year = {2022},
publisher = {The Open Journal},
volume = {7},
number = {79},
pages = {4634},
author = {Minas Karamanis and David Nabergoj and Florian Beutler and John A. Peacock and Uroš Seljak},
title = {pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology},
journal = {Journal of Open Source Software}
}
Tags
Altmetrics
Markdown badge
License
Authors of JOSS papers retain copyright.
This work is licensed under a Creative Commons Attribution 4.0 International License.
