Rubinstein distance on configurations spaces

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dc.creatorDecreusefond, Laurent
dc.creatorSavy, Nicolas
dc.date2007-07-03
dc.date.accessioned2026-07-07T08:13:46Z
dc.date.available2026-07-07T08:13:46Z
dc.descriptionBy a method inspired of the Stein's method, we derive an upper-bound of the Rubinstein distance between two absolutely continuous probability measures on configurations space. As an application, we show that the best way to approximate a Modulated Poisson Process (see below for the definition) by a Poisson process is to equate their intensity.
dc.description9 pages
dc.identifierhttps://arxiv.org/abs/0707.0445
dc.identifierhttp://arxiv.org/abs/0707.0445
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/132886
dc.subjectProbability
dc.titleRubinstein distance on configurations spaces
dc.typetext

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