2. In Example 9.3 (farmer suicides) analyse the data without any predictors under a convolution prior, namely
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2. In Example 9.3 (farmer suicides) analyse the data without any predictors under a convolution prior, namely yi ∼ Po(μi Ei ), log(μi ) = β1 + si + ui .
Use the discrete prior (9.11) on the variances of spatial and unstructured effects. Obtain the probabilities p(si > 0|y) and p(ui > 0|y), and assess the relative importance of the two forms of variation.
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