1999
DOI: 10.1002/(sici)1098-2418(199903)14:2<139::aid-rsa2>3.0.co;2-e
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On the variance of the random sphere of influence graph

Abstract: ABSTRACT:We show that the variance of the number of edges in the random sphere of influence graph built on n i.i.d. sites which are uniformly distributed over the unit cube in R d , grows linearly with n. This is then used to establish a central limit theorem for the number of edges in the random sphere of influence graph built on a Poisson number of sites. Some related proximity graphs are discussed as well.

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Cited by 6 publications
(8 citation statements)
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“…We show that H satisfies the following CLT. In this way we recover most of the results of [10], we show a de-Poissonized version of their central limit theorem and we show convergence of the variance of the total number of edges.…”
Section: Lemma 65 With Probability 1 the Values Of R X Are Finite supporting
confidence: 75%
See 1 more Smart Citation
“…We show that H satisfies the following CLT. In this way we recover most of the results of [10], we show a de-Poissonized version of their central limit theorem and we show convergence of the variance of the total number of edges.…”
Section: Lemma 65 With Probability 1 the Values Of R X Are Finite supporting
confidence: 75%
“…These latter results add to existing results for their Poisson counterparts [1,8,10]. We believe that the CLTs established here, particularly those for nonrandom sample sizes, may have uses in the statistical analysis of data and may lead to useful tests for clustering.…”
supporting
confidence: 54%
“…Moreover, there are many cases where the objective method quickly gives one the essential limit theory, yet subadditive methods appear to be awkward to apply. Here the list can be made as long as one likes, but one should certainly include the limit theory for Voronoi regions [32] and the sphere of influence graphs ( [27], [33]). …”
Section: Further Comparison To Subadditive Methodsmentioning
confidence: 97%
“…Theorem 8 applies to many problems of computational and it provides limit laws for the minimal spanning tree, the k-nearest neighbors graph ( [34], [20]), the Voronoi graph [32], the Delaunay graph, and the sphere of influence graphs ( [27], [33]). Nevertheless, before Theorem 8 can be applied, one needs to prove the associated summands ξ(x, X ) are indeed stable on P τ for all 0 ≤ τ < ∞.…”
Section: Confirmation Of Stabilitymentioning
confidence: 99%
“…pp. 142-43 of [13]) we obtain for any φ with polynomial growth (e) Proximity graphs. Devroye [7] defines a proximity graph on X to be one in which each {x, y} is included as an edge if a specified set S(x, y) is empty.…”
Section: Applicationsmentioning
confidence: 96%