
doi: 10.1007/bf00534083
This paper treats Poisson processes N with the convex ring S as state space, having a translation and rotation invariant intensity measure μ. Fixing a test set S 0∈S, denoting by Qk the random set of all points covered by N at least k times and collecting the Minkowski functionals in a generating function V, a simple formula is derived for the expectation of V(S 0 ∩Q k ) under an adequate moment condition on μ. This formula reflects the Poisson character of the process and extends to intersections of finite families of independent Poisson processes.
Markov processes, finite families of independent Poisson processes, Minkowski functionals, Point processes (e.g., Poisson, Cox, Hawkes processes), rotation invariant intensity measure
Markov processes, finite families of independent Poisson processes, Minkowski functionals, Point processes (e.g., Poisson, Cox, Hawkes processes), rotation invariant intensity measure
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
