Estimation via length-constrained generalized empirical principal curves under small noise
Statistics Theory
2019-11-18 v1 Statistics Theory
Abstract
In this paper, we propose a method to build a sequence of generalized empirical principal curves, with selected length, so that, in Hausdor distance, the images of the estimating principal curves converge in probability to the image of g.
Keywords
Cite
@article{arxiv.1911.06728,
title = {Estimation via length-constrained generalized empirical principal curves under small noise},
author = {Sylvain Delattre and Aurélie Fischer},
journal= {arXiv preprint arXiv:1911.06728},
year = {2019}
}