  The model evidence is a vital quantity in the comparison of statistical
models under the Bayesian paradigm. This paper presents a review of commonly
used methods. We outline some guidelines and offer some practical advice. The
reviewed methods are compared for two examples; non-nested Gaussian linear
regression and covariate subset selection in logistic regression.
