aimz: Scalable probabilistic impact modeling

Python Submitted 05 October 2025Published 23 April 2026
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Editor: @rich2355 (all papers)
Reviewers: @DanWaxman (all reviews), @ankurankan (all reviews)

Authors

Eunseop Kim (0009-0000-2138-788X)

Citation

Kim, E., (2026). aimz: Scalable probabilistic impact modeling. Journal of Open Source Software, 11(120), 9738, https://doi.org/10.21105/joss.09738

@article{Kim2026, doi = {10.21105/joss.09738}, url = {https://doi.org/10.21105/joss.09738}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {120}, pages = {9738}, author = {Kim, Eunseop}, title = {aimz: Scalable probabilistic impact modeling}, journal = {Journal of Open Source Software} }
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JAX Bayesian inference uncertainty quantification probabilistic modeling high-performance computing

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ISSN 2475-9066