MULTIVARIATE INTEGRATION AND APPROXIMATION FOR RANDOM FIELDS SATISFYING SACKS-YLVISAKER CONDITIONS
成果类型：
Article
署名作者：
Ritter, Klaus; Wasilkowski, Grzegorz W.; Wozniakowski, Henryk
署名单位：
University of Erlangen Nuremberg; University of Kentucky; Columbia University
刊物名称：
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN：
1050-5164
DOI：
10.1214/aoap/1177004776
发表日期：
1995
页码：
518-540
关键词：
摘要：
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.
来源URL：