Software repository
Paper review
Download paper
Software archive
Review
Editor: @pdebuyl (all papers)
Reviewers: @martinmodrak (all reviews), @georgiastuart (all reviews)
Authors
Matthew Parno (0000-0002-9419-2693), Andrew Davis (0000-0002-6023-0989), Linus Seelinger (0000-0001-8632-8493)
Citation
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
@article{Parno2021,
doi = {10.21105/joss.03076},
url = {https://doi.org/10.21105/joss.03076},
year = {2021},
publisher = {The Open Journal},
volume = {6},
number = {68},
pages = {3076},
author = {Matthew Parno and Andrew Davis and Linus Seelinger},
title = {MUQ: The MIT Uncertainty Quantification Library},
journal = {Journal of Open Source Software}
}
Tags
Python Bayesian Inference Inverse Problems Uncertainty Quantification
Altmetrics
Markdown badge
License
Authors of JOSS papers retain copyright.
This work is licensed under a Creative Commons Attribution 4.0 International License.
