Editor: @arfon (all papers)
Reviewers: @malmaud (all reviews), @mattpitkin (all reviews)
Ravin Kumar (0000-0003-0501-6098), Colin Carroll (0000-0001-6977-0861), Ari Hartikainen (0000-0002-4569-569X), Osvaldo Martin (0000-0001-7419-8978)
Kumar et al., (2019). ArviZ a unified library for exploratory analysis of Bayesian models in Python. Journal of Open Source Software, 4(33), 1143, https://doi.org/10.21105/joss.01143
Bayesian statistics Visualization Probabilistic programming
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.