Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27865
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dc.contributor.authorFernando, K-
dc.contributor.authorLiverani, C-
dc.date.accessioned2023-12-15T17:34:34Z-
dc.date.available2021-02-01-
dc.date.available2023-12-15T17:34:34Z-
dc.date.issued2021-02-01-
dc.identifierORCID iD: Kasun Fernando-
dc.identifier.citationFernando, K. and Liverani, C. (2021) 'Edgeworth expansions for weakly dependent random variables', Annales de l'institut Henri Poincare (B) Probability and Statistics, 57 (1), pp. 469 - 505. doi: 10.1214/20-AIHP1085.en_US
dc.identifier.issn0246-0203-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/27865-
dc.description.abstractWe discuss sufficient conditions that guarantee the existence of asymptotic expansions for the CLT for weakly dependent random variables including observations arising from sufficiently chaotic dynamical systems like piece-wise expanding maps, and strongly ergodic Markov chains. As a corollary we obtain refinements of the Local Limit Theorem and moderate deviation results. We primarily use spectral techniques to obtain the results. Nous discutons des conditions suffisantes garantissant l’existence d’expansions asymptotiques du théorème central limite pour des variables aléatoires faiblement dépendantes, dont des observations provenant de systèmes dynamiques suffisamment chaotiques comme des applications dilatantes par morceaux, et des chaînes de Markov fortement ergodiques. Comme corollaire, nous obtenons des raffinements du théorème local limite et de résultats de déviations modérées. Nos méthodes sont principalement des techniques spectrales.en_US
dc.description.sponsorshipMIUR Excellence Department Project awarded to the Department of Mathematics, University of Rome Tor Vergata, CUP E83C18000100006.en_US
dc.format.extent469 - 505-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherInstitute of Mathematical Statistics and Association des Publications de l’Institut Henri Poincaréen_US
dc.rightsCopyright © 2021 Association des Publications de l’Institut Henri Poincaré. All rights reserved. This is the publisher's peer reviewed, version of record made available on this institutional repository for personal use. No commercial reuse is permitted. The article is available online at: https://doi.org/10.1214/20-AIHP1085 .-
dc.rights.urihttps://imstat.org/journals-and-publications/acceptance-of-papers/-
dc.subjectEdgeworth expansions-
dc.subjectexpanding maps-
dc.subjectMarkov chains-
dc.subjectweak dependence-
dc.titleEdgeworth expansions for weakly dependent random variablesen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1214/20-AIHP1085-
dc.relation.isPartOfAnnales de l'institut Henri Poincare (B) Probability and Statistics-
pubs.issue1-
pubs.publication-statusPublished-
pubs.volume57-
dc.identifier.eissn1778-7017-
dc.rights.holderAssociation des Publications de l’Institut Henri Poincaré-
Appears in Collections:Dept of Mathematics Research Papers

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