MParT: Monotone Parameterization Toolkit

C++ Objective-C MATLAB Submitted 30 August 2022 • Published 26 December 2022
Software repository Paper review Download paper Software archive
Review

Editor: @diehlpk (all papers)
Reviewers: @ansgarwenzel (all reviews), @f-t-s (all reviews)

Authors

Matthew Parno (0000-0002-9419-2693), Paul-Baptiste Rubio (0000-0002-9765-1162), Daniel Sharp (0000-0002-0439-5084), Michael Brennan (0000-0001-7812-9347), Ricardo Baptista (0000-0002-0421-890X), Henning Bonart (0000-0002-5026-4499), Youssef Marzouk (0000-0001-8242-3290)

Citation

Parno et al., (2022). MParT: Monotone Parameterization Toolkit. Journal of Open Source Software, 7(80), 4843, https://doi.org/10.21105/joss.04843

@article{Parno2022, doi = {10.21105/joss.04843}, url = {https://doi.org/10.21105/joss.04843}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {80}, pages = {4843}, author = {Matthew Parno and Paul-Baptiste Rubio and Daniel Sharp and Michael Brennan and Ricardo Baptista and Henning Bonart and Youssef Marzouk}, title = {MParT: Monotone Parameterization Toolkit}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Python Julia measure transport transport map density estimation Bayesian inference normalizing flows machine learning

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

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.

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