We consider a class of random point and germ-grain processes, obtained using a rather natural weighting procedure. Given a Poisson point process, on each point one places a grain, a (possibly random) compact convex set. Let Ξ be the union of all grains. One can now construct new processes whose density is derived from an exponential of a linear combination of quermass functionals of Ξ. If only the area functional is used, then the area-interaction point process is recovered. New point processes arise if we include the perimeter length functional, or the Euler functional (number of components minus number of holes). The main question addressed by the paper is that of when the resulting point process is well-defined: geometric arguments are used to establish conditions for the point process to be stable in the sense of Ruelle.

Additional Metadata
Persistent URL dx.doi.org/10.1017/S0001867800009137
Journal Advances in Applied Probability
Citation
Kendall, W.S, van Lieshout, M.N.M, & Baddeley, A.J. (1999). Quermass-interaction processes: Conditions for stability. Advances in Applied Probability, 31(2), 315–342. doi:10.1017/S0001867800009137