John Stachurski

AR1 Bayes lecture comments

2

@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...

speed/accuracy comparisons using glue functionality

3

Once we switch over to myst-nb / jupyter-book, the glue functionality will be idea for cross-lecture numerical comparisons involving solution methods for dynamic programming. https://myst-nb.readthedocs.io/en/latest/use/glue.html For example, in our discussion...

Compare with other methods. For example, in the optimal growth setting, how does it compare to Coleman policy iteration or value function iteration?

This can be added to the "Tools and techniques" section. We often discuss these topics piecemeal in the middle of other lectures. For example, nonparametric density estimation comes up quite...

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1468-0262.00467 We could start off with a closed economy. This is a fundamental model. One possible extension is http://users.ox.ac.uk/~econ0506/Documents/Working/FirmGrowth-Manuscript.pdf

Timing

2

This is obviously related to #1, but for now let's set the plan to 2.5 days. (I'm basing this on input from Tom and Chase.) Format: 4 hours teaching a...

Possible topics: - Set up - Install Anaconda - Install Julia, including package supplied by Viral - Review Jupyter notebooks - Review other coding environments - Install virtual machines and...

I propose that we remove the section https://python-programming.quantecon.org/python_oop.html#example-a-market, since - the lecture is already long - we now have a more careful treatment of supply and demand in https://python-programming.quantecon.org/python_oop.html#example-a-market -...

This figure needs to be updated: https://python-programming.quantecon.org/about_py.html#relative-popularity

Add Zygote, etc. to About Julia Lecture

3

On the Python side we have this lecture that motivates use of Python: https://lectures.quantecon.org/py/about_py.html It's about why rather than how. Perhaps the Julia side could benefit from such a lecture....