Tail behaviour of multiple random integrals and U-statistics

dc.creatorMajor, Peter
dc.date2005-12-12
dc.date.accessioned2026-07-07T06:55:04Z
dc.date.available2026-07-07T06:55:04Z
dc.descriptionThis paper contains sharp estimates about the distribution of multiple random integrals of functions of several variables with respect to a normalized empirical measure, about the distribution of U-statistics and multiple Wiener-Ito integrals with respect to a white noise. It also contains good estimates about the supremum of appropriate classes of such integrals or U-statistics. The proof of most results is omitted, I have concentrated on the explanation of their content and the picture behind them. I also tried to explain the reason for the investigation of such questions. My goal was to yield such a presentation of the results which a non-expert also can understand, and not only on a formal level.
dc.descriptionPublished at http://dx.doi.org/10.1214/154957805100000186 in the Probability Surveys (http://www.i-journals.org/ps/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0512238
dc.identifierhttp://arxiv.org/abs/math/0512238
dc.identifierProbability Surveys 2005, Vol. 2, 448-505
dc.identifierdoi:10.1214/154957805100000186
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/106167
dc.subjectProbability
dc.subject60F10 (Primary) 60G50 (Secondary)
dc.titleTail behaviour of multiple random integrals and U-statistics
dc.typetext

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