Tagged Questions
1
vote
0answers
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When “additive modeling” is better?
Given $y=f(x)+\epsilon$ where $x=(x_1,\dots,x_p)$, $f$ is highly non-linear and two different estimators:
$\hat{y}=\hat{M}(x)$
$\hat{y}=\hat M_1(x)+\hat M_2(x)$ where $M_1$ is a simple (biased) ...
2
votes
1answer
55 views
Re-estimate classification model with biased data
Let's say that I score (with, for example, a logit model) a group of 10,000 customers according to their potential of buying a product, and that I decide to contact the top 1,000 with a special offer. ...
