• Publication: Annals of the Institute of Statistical Mathematics, 2014, 66:473-494.
• Original version of paper.
• Two short videos that show example sequences of MCMC sampled φ-fields from the analysis of the first synthetic data set discussed in Section 5 of the paper.
  • The first video is over the first 30 iterations of the MCMC beginning at a constant field, giving an indication of the rapid pick-up of relevant spatial patterns.
  • The second video sequences through another 30 MCMC samples beginning at MCMC iterate 3000, well after the chain has stabilized and appears to be sampling φ-fields approximately from the posterior distribution.
  Viewing MCMC samples this way can provide useful subjective insights into the nature of the inferred spatial field, and aspects of the uncertainty associated with the posterior for the field, as the MCMC progresses. Note that these videos show MCMC sweeps across columns of the field only, rather than from the full and more effective interlaced row-column MCMC algorithm used in the examples in the paper.
• Data and Matlab code for the MCMC analysis of SVSAR models, as reported in the examples in the paper, together with a readme file. This allows interested readers to explore the models and reproduce all examples in the paper, as well as to develop the model and MCMC methods for other applications.

It is understood by the user that neither the authors nor Duke University bear any responsibility nor assume any liability for any end-use of this software. It is expected that appropriate credit/acknowledgment be given should the software be included as an element in other software development or in publications.

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