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September 2, 2024Open Access

Confidence regions for the multidimensional density in the uniform norm based on the recursive Wolverton-Wagner estimation

Maria Rosaria Formica Eugeny Ostrovsky L. Sirota

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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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Cite This Study

Formica et al. (2024) studied this question.

synapsesocial.com/papers/68e59b44b6db643587536394 https://doi.org/10.48550/arxiv.2409.01451

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