Geodesic
Error bounds in stochastic-geometric normal approximation
Discrete mathematics & theoretical computer science, DMTCS Proceedings vol. AI, Fifth Colloquium on Mathematics and Computer Science, DMTCS Proceedings vol. AI, Fifth Colloquium on Mathematics and Computer Science (2008).

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We provide normal approximation error bounds for sums of the form $\sum_x \xi_x$, indexed by the points $x$ of a Poisson process (not necessarily homogeneous) in the unit $d$-cube, with each term $\xi_x$ determined by the configuration of Poisson points near to $x$ in some sense. We consider geometric graphs and coverage processes as examples of our general results. 
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     author = {Penrose, Mathew and Rosoman, Tom},
     title = {Error bounds in stochastic-geometric normal approximation},
     journal = {Discrete mathematics & theoretical computer science},
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     year = {2008},
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     url = {http://geodesic.mathdoc.fr/articles/10.46298/dmtcs.3557/}
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Penrose, Mathew; Rosoman, Tom. Error bounds in stochastic-geometric normal approximation. Discrete mathematics & theoretical computer science, DMTCS Proceedings vol. AI, Fifth Colloquium on Mathematics and Computer Science, DMTCS Proceedings vol. AI, Fifth Colloquium on Mathematics and Computer Science (2008). doi : 10.46298/dmtcs.3557. http://geodesic.mathdoc.fr/articles/10.46298/dmtcs.3557/

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