English

Non-Asymptotic Rates for Manifold, Tangent Space, and Curvature Estimation

Statistics Theory 2018-02-06 v2 Statistics Theory

Abstract

Given an nn-sample drawn on a submanifold MRDM \subset \mathbb{R}^D, we derive optimal rates for the estimation of tangent spaces T_XMT\_X M, the second fundamental form II_XMII\_X^M, and the submanifold MM.After motivating their study, we introduce a quantitative class of Ck\mathcal{C}^k-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 XX 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}
}