BayesFlow: Amortized Bayesian Workflows With Neural Networks

Python Submitted 27 June 2023 • Published 22 September 2023
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Editor: @osorensen (all papers)
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Authors

Stefan T. Radev (0000-0002-6702-9559), Marvin Schmitt (0000-0003-1293-820X), Lukas Schumacher (0000-0003-1512-8288), Lasse Elsemüller (0000-0003-0368-720X), Valentin Pratz (0000-0001-8371-3417), Yannik Schälte (0000-0003-1293-820X), Ullrich Köthe (0000-0001-6036-1287), Paul-Christian Bürkner (0000-0001-5765-8995)

Citation

Radev et al., (2023). BayesFlow: Amortized Bayesian Workflows With Neural Networks. Journal of Open Source Software, 8(89), 5702, https://doi.org/10.21105/joss.05702

@article{Radev2023, doi = {10.21105/joss.05702}, url = {https://doi.org/10.21105/joss.05702}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {89}, pages = {5702}, author = {Stefan T. Radev and Marvin Schmitt and Lukas Schumacher and Lasse Elsemüller and Valentin Pratz and Yannik Schälte and Ullrich Köthe and Paul-Christian Bürkner}, title = {BayesFlow: Amortized Bayesian Workflows With Neural Networks}, journal = {Journal of Open Source Software} }
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simulation-based inference likelihood-free inference Bayesian inference amortized Bayesian inference

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