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dc.contributor.authorHu, Yaozhong
dc.date.accessioned2005-04-11T18:32:50Z
dc.date.available2005-04-11T18:32:50Z
dc.date.issued1997-10
dc.identifier.citationHu, YZ. Ito-Wiener chaos expansion with exact residual and correlation, variance inequalities. JOURNAL OF THEORETICAL PROBABILITY. OCT 1997. 10(4):835-848.
dc.identifier.otherISI:A1997YG94900002
dc.identifier.urihttp://hdl.handle.net/1808/279
dc.description.abstractWe give a formula of expanding the solution of a stochastic differential equation (abbreviated as SDE) into a finite Ito-Wiener chaos with explicit residual. And then we apply this formula to obtain several inequalities for diffusions such as FKG type inequality, variance inequality and a correlation inequality for Gaussian measure. A simple proof for Houdre-Kagan's variance inequality for Gaussian measure is also given.
dc.description.sponsorshipResearch supported partly by theh National Science Foundation and the Air Force Office of Scientific Research Grant No. F49620 92 J0154 and the Army Research Office Grant No. DAAL 03 92 G 0008 when author was in Center for Stochastic Process, UNC-CH, NC 27599-3260 and partly by an NAVF research scholarship.
dc.format.extent153235 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.subjectGaussian measure
dc.subjectWiener process
dc.titleIto-Wiener chaos expansion with exact residual and correlation, variance inequalities
dc.typePreprint
dc.identifier.doi10.1023/A:1022654314791
dc.rights.accessrightsopenAccess


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