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Authors
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)
Citation
Huggins et al., (2023). PyVBMC: Efficient Bayesian inference in Python. Journal of Open Source Software, 8(86), 5428, https://doi.org/10.21105/joss.05428
@article{Huggins2023,
doi = {10.21105/joss.05428},
url = {https://doi.org/10.21105/joss.05428},
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}
}
Tags
Bayesian statistics Bayesian inference Probabilistic programming Model evidence Machine learning Simulator-based inference
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This work is licensed under a Creative Commons Attribution 4.0 International License.
