LIMIT THEORY FOR POINT PROCESSES IN MANIFOLDS

• 成果类型: Article
• 署名作者: Penrose, Mathew D.; Yukich, J. E.
• 署名单位: University of Bath; Lehigh University
• 刊物名称: ANNALS OF APPLIED PROBABILITY
• ISSN/ISSBN: 1050-5164
• DOI: 10.1214/12-AAP897
• 发表日期: 2013
• 页码: 2161-2211
• 关键词: gaussian limits; large numbers; renyi information; sensor networks; LAWS; coverage; entropy

摘要

Let Y-i, i >= 1, be i.i.d. random variables having values in an m-dimensional manifold M subset of R-d and consider sums Sigma(n)(i=1) xi (n(1/m)Y(i), {n(1/m)Y(j)}(j=1)(n)), where xi is a real valued function defined on pairs (y, Y), with y epsilon R-d and Y subset of R-d locally finite. Subject to xi satisfying a weak spatial dependence and continuity condition, we show that such sums satisfy weak laws of large numbers, variance asymptotics and central limit theorems. We show that the limit behavior is controlled by the value of xi on homogeneous Poisson point processes on m-dimensional hyperplanes tangent to M. We apply the general results to establish the limit theory of dimension and volume content estimators, Renyi and Shannon entropy estimators and clique counts in the Vietoris-Rips complex on {Y-i}(i=1)(n).