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hal.structure.identifierAdvanced Learning Evolutionary Algorithms [ALEA]
dc.contributor.authorCARON, François
hal.structure.identifierAdvanced Learning Evolutionary Algorithms [ALEA]
dc.contributor.authorDEL MORAL, Pierre
hal.structure.identifierDept of Statistics & Dept of Computer Science
dc.contributor.authorDOUCET, Arnaud
hal.structure.identifierAdvanced Learning Evolutionary Algorithms [ALEA]
dc.contributor.authorPACE, Michele
dc.date.issued2011
dc.identifier.issn0001-8678
dc.description.abstractEnWe consider the problem of estimating a latent point process, given the realization of another point process on abstract measurable state spaces. First, we establish an expression of the conditional distribution of a latent Poisson point process given the observation process when the transformation from the latent process to the observed process includes displacement, thinning and augmentation with extra points. We present an original analysis based on a self-contained random measure theoretic approach combined with reversed Markov kernel techniques. This simplifies and complements previous derivations given in \cite{maler}, \cite{zuev}. Second, we show how to extend our analysis to the more complicated case where the latent point process is associated to triangular array sequences, yielding what seems to be the first results of this type for this class of spatial point processes.
dc.language.isoen
dc.publisherApplied Probability Trust
dc.subject.entriangular array sequences probability hypothesis density filter
dc.subject.enfiltering
dc.subject.enmultitarget tracking
dc.subject.enspatial point processes
dc.subject.entriangular array sequences probability hypothesis density filter.
dc.title.enOn the Conditional Distributions of Spatial Point Processes
dc.typeArticle de revue
dc.subject.halMathématiques [math]/Probabilités [math.PR]
bordeaux.journalAdvances in Applied Probability
bordeaux.page16
bordeaux.volume43
bordeaux.issue2
bordeaux.peerReviewedoui
bordeaux.type.reportrr
hal.identifierinria-00464127
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00464127v1
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