Hellinger distance and Kullback—Leibler loss for the kernel density estimator

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Abstract The optimal window width, which asymptotically minimizes mean Hellinger distance between the kernel estimator and density, is known to be equivalent to the one that maximizes expected Kullback—Leibler loss for compactly supported densities. Implications of the result are discussed.

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