swyft: Truncated Marginal Neural Ratio Estimation in Python

Jupyter Notebook Python Submitted 18 January 2022 • Published 19 July 2022
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Authors

Benjamin Kurt Miller (0000-0003-0387-8727), Alex Cole (0000-0001-8035-4308), Christoph Weniger (0000-0001-7579-8684), Francesco Nattino (0000-0003-3286-0139), Ou Ku (0000-0002-5373-5209), Meiert W. Grootes (0000-0002-5733-4795)

Citation

Miller et al., (2022). swyft: Truncated Marginal Neural Ratio Estimation in Python. Journal of Open Source Software, 7(75), 4205, https://doi.org/10.21105/joss.04205

@article{Miller2022, doi = {10.21105/joss.04205}, url = {https://doi.org/10.21105/joss.04205}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {75}, pages = {4205}, author = {Benjamin Kurt Miller and Alex Cole and Christoph Weniger and Francesco Nattino and Ou Ku and Meiert W. Grootes}, title = {swyft: Truncated Marginal Neural Ratio Estimation in Python}, journal = {Journal of Open Source Software} }
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simulation-based inference likelihood-free inference machine learning bayesian inference system identification parameter identification inverse problem

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Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2475-9066