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Authors
Matthew Levine (0000-0002-5627-3169), Daniel Waxman (0009-0004-0168-5547), Iñigo Urteaga (0000-0003-3656-0037)
Citation
Levine et al., (2026). CD-Dynamax: A JAX-based Python package for continuous-discrete probabilistic state space modeling and inference. Journal of Open Source Software, 11(126), 10778, https://doi.org/10.21105/joss.10778
@article{Levine2026,
doi = {10.21105/joss.10778},
url = {https://doi.org/10.21105/joss.10778},
year = {2026},
publisher = {The Open Journal},
volume = {11},
number = {126},
pages = {10778},
author = {Levine, Matthew and Waxman, Daniel and Urteaga, Iñigo},
title = {CD-Dynamax: A JAX-based Python package for continuous-discrete probabilistic state space modeling and inference},
journal = {Journal of Open Source Software}
}
Tags
JAX State space models Continuous-discrete models dynamical systems Time series Probabilistic modeling Filtering Smoothing parameter learning
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This work is licensed under a Creative Commons Attribution 4.0 International License.
