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Next: Monte Carlo Likelihood Inference Up: Two New Point Processes Previous: The Saturation Process

Limit Models from the Saturation and Triplets Processes

As with the unconditional Strauss process, the direction of recession tex2html_wrap_inline3891 gives the hard core process as a limiting distribution. The upper bound tex2html_wrap_inline3893 gives a new limiting process. Consider the direction tex2html_wrap_inline3895 . Then tex2html_wrap_inline3897 and is maximized on the set

align693

the set of points such that each point has at least c neighbours. The limiting process is the family of Poisson processes conditioned to lie in tex2html_wrap_inline3263 .

Directions of recession with tex2html_wrap_inline3253 and tex2html_wrap_inline3905 give rise to the uninteresting limit distribution conditioned on the empty realization. Directions of recession with tex2html_wrap_inline3907 give rise to no limit distributions since, tex2html_wrap_inline3263 is empty.

As with the unconditional Strauss process, directions of recession with tex2html_wrap_inline3273 and tex2html_wrap_inline3905 seem difficult to describe. They are, at least models, for repulsion rather than clustering. So we can say that the saturation process has very simple limiting behaviour in the clustering region of the parameter space.

No such simple limits arise with the triplets process. Not only is the parameter space three-dimensional so that we must consider directions of recession in three dimensions, there are no simple linear inequalities involving the canonical statistics n(x), s(x) and w(x). All of the limiting behaviour of the triplets process seems complicated. This is one way to see that the triplets process, despite its simple motivation from the point of view of cliques in Markov point processes, is actually a much more complicated statistical model than the saturation process.



Charles Geyer
Fri Jul 5 15:26:21 CDT 1996