A generalization of the normal distribution used to characterize functions. It is called a Gaussian process because it has Gaussian distributed finite dimensional marginal distributions. A main attraction of Gaussian processes is computational tractability. They are sometimes called Gaussian random fields and are popular in the application of nonparametric Bayesian models.