Comparison of models for the Minnesota radon contamination dataset, using AIC and model evidence.

The model evidence was computed with sequential Monte Carlo (SMC), using separately the integrated likelihood presented and the full likelihood. This was repeated for 8 random initialisations with 2000 draws at each step in SMC, and we present the mean and standard deviation of the model evidence from each run. The table also shows the number of model parameters, k, and the ranking (where smaller is better) of models for each approach.