pymc-devs / pymc-devs/pymc-examples

Propose example notebook on Bayesian Power Analysis

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proposal
Dominant language
Python
Stars
398
Forks
325
Avg merge
9d 15m
Merged PRs (30d)
1

Description

Notebook proposal

Title: Bayesian Power Analysis

Why should this notebook be added to pymc-examples?

As pointed out in #349, we don't have anything currently on hypothesis testing, and nothing (nearly nothing?) on decision making. Filling this gap in the topic coverage would be good.

The notebook could go into a new category of "Hypothesis Testing" or the existing "How to" category.

PS This issue was inspired by the proposal by @cetagostini to bring Bayesian Power Analysis to CasusalPy

Suggested categories:

  • Level: Beginner or intermediate

Related notebooks

I don't believe there would be any overlap or redundancy caused by adding this. However the proposed notebook might be grouped in with one on hypothesis testing (see #349) and with currently WIP PR #477 on decision utility functions.

References

Indicative references:

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading related issue #349 and WIP PR #477, then review the existing notebook categories and related examples in pymc-examples. Clarify the Bayesian power analysis scope, intended audience, and category before implementation. Done means an agreed, non-redundant example notebook is added with the relevant references.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook, python
Domain
content, documentation
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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