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Identification and estimation of dynamic space-time forecasting models

Published online by Cambridge University Press:  01 July 2016

Ronald Martin
Ronald Martin*
Affiliation:
University of Cambridge
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Extract

This paper is concerned with the identification and estimation of dynamic space-time models for the evolution of a single random variable Y across space and through time. Suppose Y takes on values yit for each geographic zone i = 1, …, n in successive time periods t = 1, …, T.

Information

Type
Applications of Spatial Models
Information
Advances in Applied Probability , Volume 7 , Issue 3 , September 1975, pp. 455 - 456
Copyright
Copyright © Applied Probability Trust 1975 

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References

Cliff, A. D. and Ord, J. K. (1973) Spatial Autocorrelation. Pion, London.Google Scholar
Martin, R. L. and Oeppen, J. E. (1974) Identification of Space-Time Forecasting Models for Geographical Research. To appear.Google Scholar
Panuska, V. (1969) An adaptive recursive least squares identification algorithm. I.E.E.E. Proc. 8th Symp. Adaptive Processes. CrossRefGoogle Scholar