For one level of computational complexity, a Gaussian process prior on y(x), the response for descriptor vector x, is denoted GP{ f T (x)β , k(x, x ; φ , σ 2 , τ 2 )} and results in the responses from any collection of n structures, represented by the descriptor vectors x i , i = 1 . . . n, having the prior predictive multivariate normal distribution