DEPENDENCE ON THE DIMENSION FOR COMPLEXITY OF APPROXIMATION OF RANDOM FIELDS

被引:0
作者
Serdyukova, Nora A. [1 ]
机构
[1] Weierstrass Inst Angew Anal & Stochast, D-10117 Berlin, Germany
关键词
random fields; Gaussian processes; linear approximation error; information-based complexity; tractability; curse of dimensionality; multivariate linear problems; Karhunen-Loeve expansion; TESTS;
D O I
10.1137/S0040585X97984139
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We consider the epsilon-approximation by n-term partial sums of the Karhunen-Loeve expansion to d-parametric random fields of tensor product-type in the average case setting. We investigate the behavior, as d -> infinity, of the information complexity n(epsilon, d) of approximation with error not exceeding a given level epsilon. It was recently shown by Lifshits and Tulyakova that for this problem one observes the curse of dimensionality (intractability) phenomenon. The aim of this paper is to give the exact asymptotic expression for the information complexity n(epsilon, d).
引用
收藏
页码:272 / 284
页数:13
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