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Marginal Distributions of Self-Similar Processes with Stationary Increments

dc.contributor.authorO'Brian, George
dc.contributor.authorVervaat, Wim
dc.date.accessioned2009-07-02T18:52:35Z
dc.date.available2009-07-02T18:52:35Z
dc.date.issued2009-07-02T18:52:35Z
dc.descriptionVervaat was a visitor from Katholieke Universiteit. Technical report dedicated to Professor John Lamperti in recognition of his pioneering work in this field.en_US
dc.description.abstractLet X= (Xt)t more than or equal to 0 to be a real-valued stochastic process which is self-similar with exponent H>0 and has stationary increments. Several results about the marginal distribution of X1 are given. For H inequal to 1, there is a universal bound, depending only on H, on the concentration function of logXsuper+sub1. For all H>0, X1 cannot have any atoms except in certain trivial cases. Some lower bounds are given for the tails of the distribution of X1 in case H>1. Finally, some results are given concerning the connectedness of the support of X1.en_US
dc.description.sponsorshipSupported by the Natural Sciences ad Engineering Research Council of Canada, School of ORIE, Center of Applied Mathematics at Cornell University, NATO Science Fellowship from the Netherlands Organization for the Advancement of Pure Research (ZWO) and Fulbright-Hays travel grant.en_US
dc.identifier.urihttps://hdl.handle.net/1813/13090
dc.language.isoen_USen_US
dc.relation.ispartofseries550en_US
dc.subjectself-similar processesen_US
dc.subjectstationary incrementsen_US
dc.subjectmarginal distributionsen_US
dc.subjectconcentration functionen_US
dc.subjectcontinuity of distribution functionsen_US
dc.subjecttailsen_US
dc.titleMarginal Distributions of Self-Similar Processes with Stationary Incrementsen_US
dc.typetechnical reporten_US

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