Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/23395
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dc.contributor.authorDalang, Robert C., 1961-cat
dc.contributor.authorSanz-Solé, Martacat
dc.date.accessioned2012-04-10T10:36:44Z-
dc.date.available2012-04-10T10:36:44Z-
dc.date.issued2010-
dc.identifier.issn1350-7265-
dc.identifier.urihttp://hdl.handle.net/2445/23395-
dc.description.abstractWe develop several results on hitting probabilities of random fields which highlight the role of the dimension of the parameter space. This yields upper and lower bounds in terms of Hausdorff measure and Bessel-Riesz capacity, respectively. We apply these results to a system of stochastic wave equations in spatial dimension k >- 1 driven by a d-dimensional spatially homogeneous additive Gaussian noise that is white in time and colored in space.eng
dc.format.extent26 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoengeng
dc.publisherBernoulli Society for Mathematical Statistics and Probability-
dc.relation.isformatofReproducció del document publicat a: http://dx.doi.org/10.3150/09-BEJ247-
dc.relation.ispartofBernoulli Volume 16, Number 4 (2010), 1343-1368-
dc.relation.urihttp://dx.doi.org/10.3150/09-BEJ247-
dc.rights(c) ISI/BS, International Statistical Institute, Bernoulli Society, 2010-
dc.sourceArticles publicats en revistes (Matemàtiques i Informàtica)-
dc.subject.classificationProbabilitatscat
dc.subject.classificationProcessos gaussianscat
dc.subject.classificationEquacions diferencials estocàstiquescat
dc.subject.classificationTeoria de la mesuracat
dc.subject.otherProbabilitieseng
dc.subject.otherMeasure theoryeng
dc.subject.otherGaussian processeseng
dc.subject.otherStochastic differential equationseng
dc.titleCriteria for hitting probabilities with applications to systems of stochastic wave equationseng
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec590049-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Matemàtiques i Informàtica)

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