Editor: @pdebuyl (all papers)
Reviewers: @martinmodrak (all reviews), @georgiastuart (all reviews)
Matthew Parno (0000-0002-9419-2693), Andrew Davis (0000-0002-6023-0989), Linus Seelinger (0000-0001-8632-8493)
Parno et al., (2021). MUQ: The MIT Uncertainty Quantification Library. Journal of Open Source Software, 6(68), 3076, https://doi.org/10.21105/joss.03076
Python Bayesian Inference Inverse Problems Uncertainty Quantification
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.
ISSN 2475-9066