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Linear Regression Example #10
This simple example shows how to use the package to sample from the posterior distribution of a static Bayesian model and to estimate the model evidence. The example was originally presented in the literature as a model choice problem which is simple enough for the true log evidence estimates (and Bayes factor) to be obtainable via numerical integration. Users can select which model they wish to perform inference on (model 1 or 2).
This looks good to me. There are a few specific comments, but nothing that needs any changes to code other than perhaps one or two of the comments at this stage.