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arXiv:math/0512238 [math.PR]AbstractReferencesReviewsResources

Tail behaviour of multiple random integrals and U-statistics

Peter Major

Published 2005-12-12Version 1

This 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.

Comments: Published 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)
Journal: Probability Surveys 2005, Vol. 2, 448-505
Categories: math.PR
Subjects: 60F10, 60G50
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