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Authors
Thomas F. Pak (0000-0002-7198-7688), Ruth E. Baker (0000-0002-6304-9333), Joe M. Pitt-Francis (0000-0002-5094-5403)
Citation
Pak et al., (2020). Pakman: a modular, efficient and portable tool for approximate Bayesian inference. Journal of Open Source Software, 5(47), 1716, https://doi.org/10.21105/joss.01716
@article{Pak2020,
doi = {10.21105/joss.01716},
url = {https://doi.org/10.21105/joss.01716},
year = {2020},
publisher = {The Open Journal},
volume = {5},
number = {47},
pages = {1716},
author = {Thomas F. Pak and Ruth E. Baker and Joe M. Pitt-Francis},
title = {Pakman: a modular, efficient and portable tool for approximate Bayesian inference},
journal = {Journal of Open Source Software}
}
Tags
MPI approximate Bayesian computation Bayesian inference parallel computing distributed computing
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