Efficiently Approximating Spread Dimension with High Confidence
Metric Geometry
2024-08-28 v1 Populations and Evolution
Abstract
The concepts of spread and spread dimension of a metric space were introduced by Willerton in the context of quantifying biodiversity of ecosystems. In previous work, we developed the theoretical basis for applications of spread dimension as an intrinsic dimension estimator. In this paper we introduce the pseudo spread dimension which is an efficient approximation of spread dimension, and we derive a formula for the standard error associated with this approximation.
Keywords
Cite
@article{arxiv.2408.14590,
title = {Efficiently Approximating Spread Dimension with High Confidence},
author = {Kevin Dunne},
journal= {arXiv preprint arXiv:2408.14590},
year = {2024}
}
Comments
9 pages, 2 figures