Nathaniel
Nathaniel
Just FYI @tomicapretto and @GStechschulte I've tightened the writing here and showed how to do sampling for "new groups" over my hierarchical spline model for the insurance curves. Additionally i've...
No worries. Appreciate any feedback you might have.
Hi @cetagostini Sorry i wrote a load of comments on the classes and methods before getting through the notebook fully. I think i realised at the end of the notebook...
Thanks @cetagostini , yeah I think we need to be quite clear about the language. Happy to chat soon. Had a quick read of the `Causal Impact` docs you sent...
Feedback as I read through the notebook > "...for it to be considered significant." Unpack "it" a bit. The treatment effect? Typo method > "Using this methon we can answer"...
I can help with this one @drbenvincent Think it would help pull together the conceptual framework behind each of the designs we discussed the other day
Is this a good place @drbenvincent , @juanitorduz to discuss the addition of statsmodels to the CausalPy backend? Or should we pull it out into it's own issue? The case...
Wasn't actually expecting a quick reply @drbenvincent !! Just putting a note here for discussion. I don't really know the `linearmodels` package well but happy to consider it. Will pick...
Coming back to this one. I've had a look at `linearmodels` as a package. It's great. Has various different ways that you can implement frequentist IV regressions. It has neater...
What were you thinking for this? MVP using jax? Or waiting for a PYMC implementation?