BAYESIAN MODELS FOR DETECTING DIFFERENCE BOUNDARIES IN AREAL DATA

@inproceedings{Li2014BAYESIANMF,
  title={BAYESIAN MODELS FOR DETECTING DIFFERENCE BOUNDARIES IN AREAL DATA},
  author={Pei Li and Sudipto Banerjee and Timothy Hanson and Alexander M. McBean},
  year={2014}
}
With increasing accessibility to Geographical Information Systems (GIS) software, researchers and administrators in public health routinely encounter areal data compiled as aggregates over areal regions, such as counts or rates across counties in a state. Spatial models for areal data attempt to deliver smoothed maps by accounting for high variability in certain regions. Subsequently, inferential interest is focused upon formally identifying the “difference edges” or “ difference boundaries” on… CONTINUE READING

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