Abstract #301453

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JSM 2003 Abstract #301453
Activity Number: 162
Type: Topic Contributed
Date/Time: Monday, August 4, 2003 : 2:00 PM to 3:50 PM
Sponsor: IMS
Abstract - #301453
Title: Limit Distribution of the Sum and Maximum from Multivariate Gaussian Sequences
Author(s): Yongcheng Qi*+ and Barry James and Kang Barry
Companies: University of Minnesota, Duluth and University of Minnesota and University of Minnesota
Address: Dept. of Mathematics & Statistics, Duluth, MN, 55812,
Keywords: Gaussian process ; maximum ; sum ; weakly dependent ; strongly dependent
Abstract:

We study the asymptotic joint behavior of the maximum and the partial sum of a multivariate Gaussian sequence. The multivariate maximum is defined to be the coordinatewise maximum. Results extend univariate results of McCormick and Qi. We show that, under regularity conditions, if the maximum has a limiting distribution it is asymptotically independent of the partial sum. We also prove that the maximum of a stationary sequence, when normalized in a special sense which includes subtracting the sample mean, is asymptotically independent of the partial sum (again, under regularity conditions). The limiting distributions are also obtained.


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