Statistical inference using higher-order information
V.V. Anh,
N.N. Leonenko and
L.M. Sakhno
Journal of Multivariate Analysis, 2007, vol. 98, issue 4, 706-742
Abstract:
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.
Keywords: Minimum; contrast; estimators; Higher-order; spectral; densities; Long-range; dependence; Consistency; Asymptotic; normality (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jmvana:v:98:y:2007:i:4:p:706-742
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