4.4 Article

LIMIT THEORY FOR POINT PROCESSES IN MANIFOLDS

期刊

ANNALS OF APPLIED PROBABILITY
卷 23, 期 6, 页码 2161-2211

出版社

INST MATHEMATICAL STATISTICS
DOI: 10.1214/12-AAP897

关键词

Manifolds; dimension estimators; entropy estimators; Vietoris-Rips complex; clique counts

资金

  1. Alexander von Humboldt Foundation through a Friedrich Wilhelm Bessel Research Award
  2. NSF [DMS-08-05570]

向作者/读者索取更多资源

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).

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