Disaggregation of spatial autoregressive processes

Leonenko, Nikolai N. ORCID: https://orcid.org/0000-0003-1932-4091 and Taufer, Emanuele 2013. Disaggregation of spatial autoregressive processes. Spatial Statistics 3 , pp. 1-20. 10.1016/j.spasta.2013.01.001

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Abstract

An aggregated Gaussian random field, possibly strong-dependent, is obtained from accumulation of i.i.d. short memory fields via an unknown mixing density φ which is to be estimated. The so-called disaggregation problem is considered, i.e. φ is estimated from a sample of the limiting aggregated field while samples of the elementary processes remain unobserved. Estimation of the density is via its expansion in terms of orthogonal Gegenbauer polynomials. After defining the estimators, their consistency and convergence rates are discussed. An example of application to β-convergence in EU GDP per capita is discussed.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Mathematics
Subjects:	Q Science > QA Mathematics
Uncontrolled Keywords:	Gegenbauer polynomials; Aggregated random fields; Gaussian random field; Density estimation; β-convergence
Publisher:	Elsevier
ISSN:	2211-6753
Last Modified:	24 Oct 2022 11:03
URI:	https://orca.cardiff.ac.uk/id/eprint/46750

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