Confidence regions for the multidimensional density in the uniform norm based on the recursive Wolverton-Wagner estimation
Abstract
We construct an optimal exponential tail decreasing confidence region for an unknown density of distribution in the Lebesgue-Riesz as well as in the uniform norm, built on the sample of the random vectors based of the famous recursive Wolverton-Wagner density estimation.
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