One sense of “computer-intensive” statistics is just statistical methodology that makes use of a large amount of computer time. (Examples include the bootstrap, jackknife, smoothing, image analysis, and many uses of the EM algorithm.) However, the term is usually used for methods that go beyond the minimum of calculations needed for an illuminating analysis, for example, by replacing analytic approximations by computational ones, or requiring numeric optimization or integration over high-dimensional spaces. We introduce the subject with a very simple yet useful example, and then consider some of the areas in which computer-intensive methods are used, to give a flavor of current research.