Smoothing for spatiotemporal models and its application to modeling muskrat-mink interaction

Zhang, Wenyang and Yao, Qiwei and Tong, Howell and Stenseth, Nils C. (2003) Smoothing for spatiotemporal models and its application to modeling muskrat-mink interaction. Biometrics, 59 (4). pp. 813-821. ISSN 0006-341X. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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For a set of spatially dependent dynamical models, we propose a method for estimating parameters that control temporal dynamics by spatial smoothing. The new approach is particularly relevant for analyzing spatially distributed panels of short time series. The asymptotic results show that spatial smoothing will improve the estimation in the presence of nugget effect, even when the sample size in each location is large. The proposed methodology is used to analyze the annual mink and muskrat data collected in a period of 25 years in 81 Canadian locations. Based on the proposed method, we are able to model the temporal dynamics which reflects the food chain interaction of the two species.

Item Type: Article
Uncontrolled keywords: alpha-mixing; Canadian muskrat and mink data; fixed-domain asymptotics; food chain interaction; local linear regression; nugget effect; spatial smoothing; spatiotemporal model; threshold model; time series
Subjects: H Social Sciences > HA Statistics
Divisions: Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics
Depositing User: Judith Broom
Date Deposited: 19 Dec 2007 18:35
Last Modified: 18 Jul 2014 08:50
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