Question
What is kernel density estimation (KDE)?
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Correct Answer: D. A nonparametric method for estimating a smooth probability density
Explanation:
KDE places a smooth kernel around observations and adds their contributions.
It estimates distribution shape without choosing a specific parametric family.
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