Cardinality estimation for random stopping sets based on Poisson point processes
Keyword(s):
We construct unbiased estimators for the distribution of the number of vertices inside random stopping sets based on a Poisson point process. Our approach is based on moment identities for stopping sets, showing that the random count of points inside the complement of a stopping set S has a Poisson distribution conditionally to S. The proofs do not require the use of set-indexed martingales, and our estimators have a lower variance when compared to standard sampling. Numerical simulations are presented for examples such as the convex hull and the Voronoi flower of a Poisson point process, and their complements.
1999 ◽
Vol 31
(2)
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pp. 355-366
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1997 ◽
Vol 34
(03)
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pp. 643-656
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Keyword(s):
2021 ◽
pp. 232-243
1980 ◽
Vol 17
(03)
◽
pp. 686-695
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