arviz-devs / arviz-devs/EABM

Extend Chapter Bayesian Workflow

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Dominant language
Jupyter Notebook
Stars
31
Forks
18
Avg merge
2d 8h
Merged PRs (30d)
4

Description

One additional source is https://sites.stat.columbia.edu/gelman/research/published/Statistical_Workflow_article.pdf
Another source is the now-available Bayesian workflow book.

Contributor guide

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Research direction

Start by locating the Bayesian Workflow chapter in the EABM source. Read the linked Statistical Workflow article and the Bayesian workflow book, then determine which relevant material should extend the chapter; done means the chapter incorporates the selected source material and references.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook
Domain
documentation
Issue type
Documentation
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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