ArviZ a unified library for exploratory analysis of Bayesian models in Python

Python R Submitted 23 December 2018Published 15 January 2019
Review

Editor: @arfon (all papers)
Reviewers: @malmaud (all reviews), @mattpitkin (all reviews)

Authors

Ravin Kumar (0000-0003-0501-6098), Colin Carroll (0000-0001-6977-0861), Ari Hartikainen (0000-0002-4569-569X), Osvaldo Martin (0000-0001-7419-8978)

Citation

Kumar et al., (2019). ArviZ a unified library for exploratory analysis of Bayesian models in Python. Journal of Open Source Software, 4(33), 1143, https://doi.org/10.21105/joss.01143

@article{Kumar2019, doi = {10.21105/joss.01143}, url = {https://doi.org/10.21105/joss.01143}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {33}, pages = {1143}, author = {Ravin Kumar and Colin Carroll and Ari Hartikainen and Osvaldo Martin}, title = {ArviZ a unified library for exploratory analysis of Bayesian models in Python}, journal = {Journal of Open Source Software} }
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Bayesian statistics Visualization Probabilistic programming

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ISSN 2475-9066