Statistical estimation of nonstationaryGaussian processes with long-range dependence and intermittency
This paper considers statistical inference for nonstationaryGaussian processes with long-range dependence and intermittency. The existence of such a process has been established by Anh et al. (J. Statist. Plann. Inference 80 (1999) 95–110). We systematically consider the case where the spectral densityof nonstationaryGaussian processes with stationaryincrements is of a general and
|Date of creation:||13 Dec 1999|
|Date of revision:||23 Oct 2001|
|Publication status:||Published in Stochastic Processes and Their Applications 1.99(2002): pp. 295-323|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
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