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Scenery reconstruction with branching random walk

By Serguei Popov and Angelica Pachon


We study the problem of scenery reconstruction in arbitrary dimension using observations registered in boxes of size k (for k fixed), seen along a branching random walk. We prove that, using a large enough k for almost all the realizations of the branching random walk, almost all sceneries can be reconstructed up to equivalence

Topics: QA
Publisher: Taylor & Francis Ltd.
Year: 2011
DOI identifier: 10.1080/17442508.2010.544973
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