Abstract

Many statistics of point processes can be written as sums of scores, where each score represents the contribution of a point. If such a score depends only on the point process in a random neighbourhood of the point, the statistic is called stabilising. In this talk, limit theorems for stabilising functionals of underlying Poisson processes will be presented and applications such as nearest neighbour graphs and Voronoi set approximation will be considered.