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.
Year of publication: |
2007
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Authors: | Anh, V.V. ; Leonenko, N.N. ; Sakhno, L.M. |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 98.2007, 4, p. 706-742
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Publisher: |
Elsevier |
Keywords: | Minimum contrast estimators Higher-order spectral densities Long-range dependence Consistency Asymptotic normality |
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