Dynamax: A Python package for probabilistic state space modeling with JAX

Python Submitted 24 July 2024Published 03 April 2025
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Editor: @osorensen (all papers)
Reviewers: @thomaspinder (all reviews), @gdalle (all reviews)

Authors

Scott W. Linderman (0000-0002-3878-9073), Peter Chang, Giles Harper-Donnelly, Aleyna Kara, Xinglong Li, Gerardo Duran-Martin, Kevin Murphy

Citation

Linderman et al., (2025). Dynamax: A Python package for probabilistic state space modeling with JAX. Journal of Open Source Software, 10(108), 7069, https://doi.org/10.21105/joss.07069

@article{Linderman2025, doi = {10.21105/joss.07069}, url = {https://doi.org/10.21105/joss.07069}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {108}, pages = {7069}, author = {Scott W. Linderman and Peter Chang and Giles Harper-Donnelly and Aleyna Kara and Xinglong Li and Gerardo Duran-Martin and Kevin Murphy}, title = {Dynamax: A Python package for probabilistic state space modeling with JAX}, journal = {Journal of Open Source Software} }
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State space models dynamics JAX

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ISSN 2475-9066