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Pré-Publication, Document De Travail Année : 2016

On boundary detection

Résumé

Given a sample of a random variable supported by a smooth compact manifold M ⊂ R d , we propose a test to decide whether the boundary of M is empty or not with no preliminary support estimation. The test statistic is based on the maximal distance between a sample point and the average of its k n −nearest neighbors. We prove that the level of the test can be estimated, that, with probability one, the power is one for n large enough and that there exists consistent decision rule. A heuristic for choosing a convenient value for the k n parameter is also given. Finally we provide a simulation study of the test.
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Dates et versions

hal-01291996 , version 1 (22-03-2016)
hal-01291996 , version 2 (07-07-2017)
hal-01291996 , version 3 (04-07-2019)

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  • HAL Id : hal-01291996 , version 1

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Catherine Aaron, Alejandro Cholaquidis. On boundary detection. 2016. ⟨hal-01291996v1⟩
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