Question
What problem can occur when a KDE is used to extrapolate beyond observed data?
Select an option. Your answer will be checked instantly.
Correct Answer: C. Its tail behavior is driven by kernel choice rather than a validated process model
Explanation:
KDE is primarily a local description of the observed sample.
Far-tail predictions are unreliable without substantive assumptions.
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