ericmjl / bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

Date Created 2018-02-01 (6 years ago)

Commits 262 (last one 2 years ago)

Stargazers 659 (0 this week)

Watchers 27 (0 this week)

Forks 279

License mit

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RepositoryStats indexes 598,732 repositories, of these ericmjl/bayesian-stats-modelling-tutorial is ranked #74,391 (88th percentile) for total stargazers, and #81,932 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,571/17,660.

Other Information

ericmjl/bayesian-stats-modelling-tutorial has 4 open pull requests on Github, 57 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 12 open issues and 30 closed issues.

There have been 2 releases, the latest one was published on 2019-08-09 (5 years ago) with the name SciPy 2019 Release.

All Topics

pymc bayesian bayesian-inference bayesian-statistics bayesian-data-science bayesian-data-analysis

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4 commits on the default branch (master) since jan '22

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updated: 2024-12-12 @ 06:51am, id: 119832858 / R_kgDOBySBGg