I wonder why a chi2 fit in RooFit does not take the error on prediction into account. AFAIK the denominator, eg. the error, is that of the data only.
Is there a reason not to consider the error on prediction as well (eg. finite statistics if using MC, other sources of errors if using data-driven models etc.)?
Thanks and cheers,