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dc.contributor.authorLam, Henry
dc.contributor.authorBlanchet, Jose
dc.contributor.authorBurch, Damian
dc.contributor.authorBazant, Martin Z.
dc.date.accessioned2013-03-15T18:40:38Z
dc.date.available2013-03-15T18:40:38Z
dc.date.issued2011-09
dc.date.submitted2011-04
dc.identifier.issn0894-9840
dc.identifier.issn1572-9230
dc.identifier.urihttp://hdl.handle.net/1721.1/77920
dc.description.abstractClassical Edgeworth expansions provide asymptotic correction terms to the Central Limit Theorem (CLT) up to an order that depends on the number of moments available. In this paper, we provide subsequent correction terms beyond those given by a standard Edgeworth expansion in the general case of regularly varying distributions with diverging moments (beyond the second). The subsequent terms can be expressed in a simple closed form in terms of certain special functions (Dawson’s integral and parabolic cylinder functions), and there are qualitative differences depending on whether the number of moments available is even, odd, or not an integer, and whether the distributions are symmetric or not. If the increments have an even number of moments, then additional logarithmic corrections must also be incorporated in the expansion parameter. An interesting feature of our correction terms for the CLT is that they become dominant outside the central region and blend naturally with known large-deviation asymptotics when these are applied formally to the spatial scales of the CLT.en_US
dc.language.isoen_US
dc.publisherSpringer-Verlagen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s10959-011-0379-yen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceOther university web domainen_US
dc.titleCorrections to the Central Limit Theorem for Heavy-tailed Probability Densitiesen_US
dc.typeArticleen_US
dc.identifier.citationLam, Henry et al. “Corrections to the Central Limit Theorem for Heavy-tailed Probability Densities.” Journal of Theoretical Probability 24.4 (2011): 895–927.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.contributor.mitauthorBurch, Damian
dc.contributor.mitauthorBazant, Martin Z.
dc.relation.journalJournal of Theoretical Probabilityen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsLam, Henry; Blanchet, Jose; Burch, Damian; Bazant, Martin Z.en
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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