sbi: A toolkit for simulation-based inference

Python Jupyter Notebook Submitted 14 July 2020Published 21 August 2020
Review

Editor: @dfm (all papers)
Reviewers: @EiffL (all reviews), @cranmer (all reviews)

Authors

Alvaro Tejero-Cantero (0000-0002-8768-4227), Jan Boelts (0000-0003-4979-7092), Michael Deistler (0000-0002-3573-0404), Jan-Matthis Lueckmann (0000-0003-4320-4663), Conor Durkan (0000-0001-9333-7777), Pedro J. Gonçalves (0000-0002-6987-4836), David S. Greenberg (0000-0002-8515-0459), Jakob H. Macke (0000-0001-5154-8912)

Citation

Tejero-Cantero et al., (2020). sbi: A toolkit for simulation-based inference. Journal of Open Source Software, 5(52), 2505, https://doi.org/10.21105/joss.02505

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simulation science likelihood-free inference bayesian inference system identification parameter identification

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