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Lookup NU author(s): Linda Garside, Professor Darren Wilkinson
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This paper is concerned with the modelling of the latent structure of a Bayesian spatio-temporal model with a view to improving parameter inference, smoothing and prediction. The equilibrium distribution of a time stationary system will be examined, paying particular attention to edge-effects and the effect of grid-coarsening. In order to develop an effective MCMC algorithm, the latent process is integrated out of the model. These techniques will be illustrated using North Atlantic ocean temperature data.
Author(s): Garside LM, Wilkinson DJ
Editor(s): Bernardo, J.M., Bayarri, M.J., Berger, J.O., Dawid, A.P., Heckerman, D., Smith, A.F.M.
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Bayesian Statistics: 7th Valencia International Meeting on Bayesian Statistics
Year of Conference: 2003
Pages: 535-542
Publisher: Oxford University Press
Library holdings: Search Newcastle University Library for this item
ISBN: 9780198526155
