Hi,
I’m somewhat new in bayes analysis and wondering if there is a reasonable approach for following problem.
Let’s say:
- I have an outcome for an upper level (e.g. states of us).
Y[state] - But I i’d like to have this outcome for a lower level (e.g. counties inside every state).
Y[county] - I also have some characteristics (features) for the counties.
X1[county] … Xn[county]
I saw kind of an expected maximization approach.
- Generate a starting condition Y[state]/len(counties) for every state and now process EM steps a model Y[county] = X1[county] … Xn[county] and rescale sum(Y[county]) == Y[state].
Is this reasonable and I’m wondering if there is a possibility to try something with pymc3?
Thanks for a starting point.
Chris