Spatio-temporal stationary covariance models

Authors:
Chunsheng Ma
Affiliations:
Department of Mathematics and Statistics, Wichita State University, Wichita, KS
Venue:
Journal of Multivariate Analysis
Year:
2003

Citing 2
Cited 5

On &agr;-symmetric multivariate characteristic functions

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On positive definiteness of some functions

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Modified Whittle estimation of multilateral models on a lattice

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Model comparison and selection for stationary space-time models

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Quasi-arithmetic means of covariance functions with potential applications to space-time data

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Predicting spatio-temporal random fields: Some computational aspects

Computers & Geosciences

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Abstract

Stationary covariance functions that model space-time interactions are in great demand. The goal of this paper is to introduce and develop new spatio-temporal stationary covanance models. Integral representations for covariance functions with certain properties, such as α-symmetry in the spatial lag, are established. Mixture models are proposed through purely spatial and temporal covariance functions.