PyVBMC: Efficient Bayesian inference in Python

Python Submitted 16 March 2023Published 21 June 2023

Editor: @rkurchin (all papers)
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Bobby Huggins (0009-0006-3475-5964), Chengkun Li (0000-0001-5848-910X), Marlon Tobaben (0000-0002-9778-0853), Mikko J. Aarnos, Luigi Acerbi (0000-0001-7471-7336)


Huggins et al., (2023). PyVBMC: Efficient Bayesian inference in Python. Journal of Open Source Software, 8(86), 5428,

@article{Huggins2023, doi = {10.21105/joss.05428}, url = {}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {86}, pages = {5428}, author = {Bobby Huggins and Chengkun Li and Marlon Tobaben and Mikko J. Aarnos and Luigi Acerbi}, title = {PyVBMC: Efficient Bayesian inference in Python}, journal = {Journal of Open Source Software} }
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Bayesian statistics Bayesian inference Probabilistic programming Model evidence Machine learning Simulator-based inference

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