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Kernel density estimation is a plug-in of the empirical CDF into the derivative definition of a density, and its accuracy is governed by a bandwidth bias–variance tradeoff whose optimal rate is slower than parametric...
Unknown · 0:00
Kernel density estimation is a plug-in of the empirical CDF into the derivative definition of a density, and its accuracy is governed by a bandwidth bias–variance tradeoff whose optimal rate is slower than parametric...
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