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Clustering comparison of point processes with applications to random geometric models
[article]
2014
arXiv
pre-print
In this chapter we review some examples, methods, and recent results involving comparison of clustering properties of point processes. Our approach is founded on some basic observations allowing us to consider void probabilities and moment measures as two complementary tools for capturing clustering phenomena in point processes. As might be expected, smaller values of these characteristics indicate less clustering. Also, various global and local functionals of random geometric models driven by
arXiv:1212.5285v2
fatcat:4wim5afjurdhjldgmajfmp35vi