Caveat: Both of the following claims are subject to verification by
true experts, which I am not. But I believe:
1. If all values being smoothed are positive, then the smoother must
be also. If there are negative values, this is no longer true, and
your question needs much more detail to get an an
Is it possible to apply a kernel smoothing regression whose estimator or
indeed the confidence intervals cannot take negative values or values
greater than 1?
Best regards,
Ioanna
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