Statistical inference using higher-order information
This paper presents a class of minimum contrast estimators for stochastic processes with possible long-range dependence based on the information on higher-order spectral densities. The results on consistency and asymptotic normality of the proposed estimators are provided.
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Volume (Year): 98 (2007)
Issue (Month): 4 (April)
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References listed on IDEAS
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- Gao, Jiti & Anh, Vo & Heyde, Chris, 2002. "Statistical estimation of nonstationary Gaussian processes with long-range dependence and intermittency," Stochastic Processes and their Applications, Elsevier, vol. 99(2), pages 295-321, June.
- Gao, jiti & Anh, vo & Heyde, christopher, 1999. "Statistical estimation of nonstationaryGaussian processes with long-range dependence and intermittency," MPRA Paper 11972, University Library of Munich, Germany, revised 23 Oct 2001.
- Zhang, Hong-Ching & Shaman, Paul, 1991. "On the calculation of cumulants of estimators arising from a linear time series regression model," Journal of Multivariate Analysis, Elsevier, vol. 37(2), pages 135-150, May. Full references (including those not matched with items on IDEAS)
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