quickBayes: An analytical approach to Bayesian marginal likelihoods

Python Submitted 27 November 2023Published 03 April 2025
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Editor: @osorensen (all papers)
Reviewers: @JonasMoss (all reviews), @mattpitkin (all reviews), @prashjet (all reviews)

Authors

Anthony Lim

Citation

Lim, A., (2025). quickBayes: An analytical approach to Bayesian marginal likelihoods. Journal of Open Source Software, 10(108), 6230, https://doi.org/10.21105/joss.06230

@article{Lim2025, doi = {10.21105/joss.06230}, url = {https://doi.org/10.21105/joss.06230}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {108}, pages = {6230}, author = {Anthony Lim}, title = {quickBayes: An analytical approach to Bayesian marginal likelihoods}, journal = {Journal of Open Source Software} }
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