Software repository
Paper review
Download paper
Software archive
Review
Editor: @jbytecode (all papers)
Reviewers: @yangyushi (all reviews), @ptmerz (all reviews)
Authors
Pamphile T. Roy (0000-0001-9816-1416), Art B. Owen (0000-0001-5860-3945), Maximilian Balandat (0000-0002-8214-8935), Matt Haberland (0000-0003-4806-3601)
Citation
Roy et al., (2023). Quasi-Monte Carlo Methods in Python. Journal of Open Source Software, 8(84), 5309, https://doi.org/10.21105/joss.05309
@article{Roy2023,
doi = {10.21105/joss.05309},
url = {https://doi.org/10.21105/joss.05309},
year = {2023},
publisher = {The Open Journal},
volume = {8},
number = {84},
pages = {5309},
author = {Pamphile T. Roy and Art B. Owen and Maximilian Balandat and Matt Haberland},
title = {Quasi-Monte Carlo Methods in Python},
journal = {Journal of Open Source Software}
}
Tags
SciPy statistics Quasi-Monte Carlo methods
Altmetrics
Markdown badge
License
Authors of JOSS papers retain copyright.
This work is licensed under a Creative Commons Attribution 4.0 International License.
