Dear All,
I have been trying to understand this data fusion
thing for sometime from what material I am getting
from the web. But due to lack of info I am getting
stuck at one point. From what I understand, suppose I
have two different non overlapping datasets, D1 and
D2. D1 has variables b,(buying decision) and common
variables X1, X2,... Xn. and D2 has variables m (media
exposure), and the common variables (X1-Xn). So my
first step would be to fit logit models on these two
different datasets. Now after fitting the models, then
what do I do? How to match these two datasets? That is
what algorithim do I follow now? Could someone explain
to me in layman's terms. Any help will be highly
appreciated.
Regards,
Indrajit Sen Gupta
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