Non-Asymptotic Rates for Manifold, Tangent Space, and Curvature Estimation
Statistics Theory
2018-02-06 v2 Statistics Theory
Abstract
Given an -sample drawn on a submanifold , we derive optimal rates for the estimation of tangent spaces , the second fundamental form , and the submanifold .After motivating their study, we introduce a quantitative class of -submanifolds in analogy with H{\"o}lder classes.The proposed estimators are based on local polynomials and allow to deal simultaneously with the three problems at stake. Minimax lower bounds are derived using a conditional version of Assouad's lemma when the base point is random.
Keywords
Cite
@article{arxiv.1705.00989,
title = {Non-Asymptotic Rates for Manifold, Tangent Space, and Curvature Estimation},
author = {Eddie Aamari and Clément Levrard},
journal= {arXiv preprint arXiv:1705.00989},
year = {2018}
}