Central limit theorems for k-nearest neighbour distances
Let X1,X2,X3,... be independent d-dimensional variables with common density function f. Let Ri,k,n be the distance from Xi to its kth nearest neighbour in {X1,...,Xn}. Suppose (kn) is a sequence with 1<<kn<<n2/(2+d) as n tends to infinity (or 1<<kn<<n2/3 for a uniform distribution). Subject to conditions on f, we find a central limit theorem (in the large-n limit) for a time-change of the counting process with jumps at the points f(Xi)Ri,kn,nd, 1[less-than-or-equals, slant]i[less-than-or-equals, slant]n.
Year of publication: |
2000
|
---|---|
Authors: | Penrose, Mathew D. |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 85.2000, 2, p. 295-320
|
Publisher: |
Elsevier |
Keywords: | Nearest neighbours Empirical process Goodness-of-fit test Gaussian process Geometric probability Dependency graph |
Saved in:
Saved in favorites
Similar items by person
-
Percolation of even sites for random sequential adsorption
Penrose, Mathew D., (2012)
-
The random connection model in high dimensions
Meester, Ronald, (1997)
-
Martingale representation for Poisson processes with applications to minimal variance hedging
Last, Guenter, (2010)
- More ...