Arnav Sood

Results 56 comments of Arnav Sood

Currently we have https://github.com/QuantEcon/Expectations.jl/blob/9b99daf98db7b2ec37a8df74a567237bd15325a6/src/iterable.jl#L81, which falls back to Gauss-Legendre for continuous distributions that lack a specified method. If we're throwing an error instead of using it, that's definitely a mistake....

- [x] Adjust tolerance on the failing unit test in `perm_income` once this is done, so that the check passes in both MKL + non-MKL setups.

I thought we decided not to put in VS Code instructions. Maybe I'm hallucinating, though.

Also `eachslice(M, dims)` for arbitrary sizes.

Makes sense to me.

(But the help output also has syntax like `jupinx -n lecture-source-py -f source/lecture1.rst`, which I couldn't get to work, for the same reason.)

In the short run I think `LQC` or `LQP` sounds good. Probably best to keep style consistent with the other types, etc.