Editor: @jedbrown (all papers)
Reviewers: @jmlarson1 (all reviews), @gonsie (all reviews)
Thomas F. Pak (0000-0002-7198-7688), Ruth E. Baker (0000-0002-6304-9333), Joe M. Pitt-Francis (0000-0002-5094-5403)
Pak et al., (2020). Pakman: a modular, efficient and portable tool for approximate Bayesian inference. Journal of Open Source Software, 5(47), 1716, https://doi.org/10.21105/joss.01716
MPI approximate Bayesian computation Bayesian inference parallel computing distributed computing
Authors of JOSS papers retain copyright.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Journal of Open Source Software is an affiliate of the Open Source Inititative.
Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.
Public user content licensed CC BY 4.0 unless otherwise specified.