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|
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- Hardle, Wolfgang & LIang, Hua & Gao, Jiti, 2000. "Partially linear models," MPRA Paper 39562, University Library of Munich, Germany, revised 01 Sep 2000.
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