  There are many atomistic simulation methods with very different costs,
accuracies, transferabilities, and numbers of empirical parameters. I show how
statistical model selection can compare these methods fairly, even when they
are very different. These comparisons are also useful for developing new
methods that balance cost and accuracy. As an example, I build a semiempirical
model for hydrogen clusters.
