PxMCMC: A Python package for proximal Markov Chain Monte Carlo

Python Submitted 24 April 2023Published 26 July 2023
Review

Editor: @mstimberg (all papers)
Reviewers: @jeremiecoullon (all reviews), @mattpitkin (all reviews)

Authors

Augustin Marignier (0000-0001-6778-1399)

Citation

Marignier, A., (2023). PxMCMC: A Python package for proximal Markov Chain Monte Carlo. Journal of Open Source Software, 8(87), 5582, https://doi.org/10.21105/joss.05582

@article{Marignier2023, doi = {10.21105/joss.05582}, url = {https://doi.org/10.21105/joss.05582}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {87}, pages = {5582}, author = {Augustin Marignier}, title = {PxMCMC: A Python package for proximal Markov Chain Monte Carlo}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

MCMC imaging geophysics astrophysics

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066