Parametric Estimation of Long Memory Multivariate Gaussian random fields
Keyword(s):
The aim of this paper is to make a theoretically study of the minimum Hellinger distance estimator of multivariate, gaussian, stationary, isotropic long-memory random fields The variables are observed on a finite set of points in space. We establish under certain assumptions, the almost sure convergence and the asymptotic distribution of this estimator.
2016 ◽
Vol 21
(3)
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pp. 448-469
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2015 ◽
Vol 25
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pp. 21-37
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2016 ◽
Vol 05
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pp. 1650003
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1998 ◽
Vol 14
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pp. 883-903
2002 ◽
Vol 7
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pp. 31-42