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Journal Articles Electronic Journal of Statistics Year : 2019

Estimating the Reach of a Manifold

Abstract

Various problems in manifold estimation make use of a quantity called the reach, denoted by $\tau_M$, which is a measure of the regularity of the manifold. This paper is the first investigation into the problem of how to estimate the reach. First, we study the geometry of the reach through an approximation perspective. We derive new geometric results on the reach for submanifolds without boundary. An estimator $\hat{\tau}$ of $\tau_{M}$ is proposed in a framework where tangent spaces are known, and bounds assessing its efficiency are derived. In the case of i.i.d. random point cloud $\mathbb{X}_{n}$, $\hat{\tau}(\mathbb{X}_{n})$ is showed to achieve uniform expected loss bounds over a $\mathcal{C}^3$-like model. Finally, we obtain upper and lower bounds on the minimax rate for estimating the reach.
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Dates and versions

hal-01521955 , version 1 (12-05-2017)
hal-01521955 , version 2 (31-01-2018)
hal-01521955 , version 3 (19-03-2019)

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Eddie Aamari, Jisu Kim, Frédéric Chazal, Bertrand Michel, Alessandro Rinaldo, et al.. Estimating the Reach of a Manifold. Electronic Journal of Statistics , 2019, ⟨10.1214/19-EJS1551⟩. ⟨hal-01521955v3⟩
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