PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Bounds on the power-weighted mean nearest neighbor distance
Elia Liitiäinen, Amaury Lendasse and Francesco Corona
Proceedings of the Royal Society, Series A Volume 464, Number 2097, pp. 2293-2301, 2008.

Abstract

In this paper, bounds on the mean power-weighted nearest neighbour distance are derived. Previous work concentrates mainly on the infinite sample limit, whereas our bounds hold for any sample size. The results are expected to be of importance, for example in statistical physics, non-parametric statistics and computational geometry, where they are related to the structure of matter as well as properties of statistical estimators and random graphs.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:4811
Deposited By:Amaury Lendasse
Deposited On:24 March 2009