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On Stopping Sets and Continuous-Time Decision Trees

Khezeli, Ali
arXiv (All) · Papers
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probability
We study stopping sets and continuous-time decision trees (CTDTs) for Poisson point processes. We first give a proof of the spatial Markov property without assuming that the stopping set contains finitely many points or admits a finite approximation. The proof uses the multivariate Mecke formula on
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