Zhang, W. and Yao, Q.W. and Tong, H. and Stenseth, N.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 available from this repository. (Contact us about this Publication)|
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.
|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:||14 Jan 2010 14:00|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/904 (The current URI for this page, for reference purposes)|
- Depositors only (login required):