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Dependence Between Extreme Values of Discrete and Continuous Time Locally Stationary Gaussian Processes
Authors:Email author" target="_blank">J?HüslerEmail author
Institution:(1) Department of Mathematical Statistics, University of Bern, Sidlerstr. 5, CH-3012 Bern, Switzerland
Abstract:The maximum of a continuous, locally stationary Gaussian process which satisfies Bermanrsquos condition on the long range dependence is compared with the maximum of this process sampled at discrete time points. These two extreme values are asymptotically totally dependent if the grid of the discrete time points is sufficiently dense, and asymptotically independent if the the grid points are sparse.AMS 2000 Subject Classification. Primary—60F05, Secondary—60G15
Keywords:continuous time process  dependence  discrete time process  extreme values  Gaussian processes  local stationarity  maximum
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