First-order intrinsic autoregressions and the de Wijs process

We discuss intrinsic autoregressions for a first-order neighbourhood on a two-dimensional rectangular lattice and give an exact formula for the variogram that extends known results to the asymmetric case. We obtain a corresponding asymptotic expansion that is more accurate and more general than prev...

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Veröffentlicht in:Biometrika 2005-12, Vol.92 (4), p.909-920
Hauptverfasser: Besag, Julian, Mondal, Debashis
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container_title Biometrika
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creator Besag, Julian
Mondal, Debashis
description We discuss intrinsic autoregressions for a first-order neighbourhood on a two-dimensional rectangular lattice and give an exact formula for the variogram that extends known results to the asymmetric case. We obtain a corresponding asymptotic expansion that is more accurate and more general than previous ones and use this to derive the de Wijs variogram under appropriate averaging, a result that can be interpreted as a two-dimensional spatial analogue of Brownian motion obtained as the limit of a random walk in one dimension. This provides a bridge between geostatistics, where the de Wijs process was once the most popular formulation, and Markov random fields, and also explains why statistical analysis using intrinsic autoregressions is usually robust to changes of scale. We briefly describe corresponding calculations in the frequency domain, including limiting results for higher-order autoregressions. The paper closes with some practical considerations, including applications to irregularly-spaced data.
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source RePEc; JSTOR Mathematics & Statistics; Jstor Complete Legacy; Oxford University Press Journals All Titles (1996-Current)
subjects Agricultural field trial
Agriculture
Applications
Approximation
Asymptotic expansion
Biology, psychology, social sciences
De Wijs process
Earth science
Environmetrics
Epidemiology
Error rates
Exact sciences and technology
Geographical epidemiology
Geostatistics
Inference from stochastic processes
time series analysis
Intrinsic autoregression
Markov processes
Markov random field
Mathematical functions
Mathematical lattices
Mathematics
Medical sciences
Probability and statistics
Probability theory and stochastic processes
Regression analysis
Sciences and techniques of general use
Special processes (renewal theory, markov renewal processes, semi-markov processes, statistical mechanics type models, applications)
Spectral energy distribution
Statistical analysis
Statistics
Variogram
White noise
title First-order intrinsic autoregressions and the de Wijs process
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