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Maxima and sum for discrete and continuous time Gaussian processes |
Yang CHEN1,Zhongquan TAN2,*() |
1. School of Mathematics and Physics, Suzhou University of Science and Technology,Suzhou 215009, China 2. College of Mathematics, Physics and Information Engineering, Jiaxing University,Jiaxing 314001, China |
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Abstract We study the asymptotic relation among the maximum of continuous weakly and strongly dependent stationary Gaussian process, the maximum of this process sampled at discrete time points, and the partial sum of this process. It is shown that these two extreme values and the sum are asymptotically independent if the grid of the discrete time points is sufficiently sparse and the Gaussian process is weakly dependent, and asymptotically dependent if the grid points are Pickands grids or dense grids.
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Keywords
Continuous time process
dependence
discrete time process
extreme value
Gaussian process
sum
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Corresponding Author(s):
Zhongquan TAN
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Issue Date: 02 December 2015
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