QuantEcon / QuantEcon/lecture-python.myst
AR1 Bayes lecture comments
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Description
@thomassargent30 @smit-create, I really enjoyed reading the lecture https://python.quantecon.org/ar1_bayes.html
Some minor suggestions:
It is not clear from reading the lecture why we are using both pymc and numpyro. Is it because they give different insights or because we want to show how to use both libraries? Some guidance for the reader would be helpful.
It would help the reader if there was a bit more guidance about the numpyro implementation. E.g., what is NUTS? Just one or two lines, and perhaps a few links?
Add "the" to "The first component of statistical model"
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Research direction
Start with the AR1 Bayes lecture at https://python.quantecon.org/ar1_bayes.html and review the sections using pymc and numpyro. Add brief guidance on why both libraries are presented, explain NUTS with a link or two, and correct the missing “the” in the statistical model sentence.
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Assessment
- Tech stack
- python
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100