Multivariate Integration and Approximation for Random Fields Satisfying Sacks-Ylvisaker Conditions

Abstract

We present sharp bounds on the minimal errors of linear estimators for multivariate integration and $L_2$-approximation. This is done for a random field whose covariance kernel is a tensor product of one-dimensional kernels that satisfy the Sacks-Ylvisaker regularity conditions.