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Approximation complexity of additive random fields

Authors: Lifshits, Mihail A.; Zani, Marguerite;

Approximation complexity of additive random fields

Abstract

AbstractLet X(t,ω) be an additive random field for (t,ω)∈[0,1]d×Ω. We investigate the complexity of finite rank approximationX(t,ω)≈∑k=1nξk(ω)ϕk(t).The results are obtained in the asymptotic setting d→∞ as suggested by Woźniakowski [Tractability and strong tractability of linear multivariate problems, J. Complexity 10 (1994) 96–128.]; [Tractability for multivariate problems for weighted spaces of functions, in: Approximation and Probability. Banach Center Publications, vol. 72, Warsaw, 2006, pp. 407–427.]. They provide quantitative version of the curse of dimensionality: we show that the number of terms in the series needed to obtain a given relative approximation error depends exponentially on d. More precisely, this dependence is of the form Vd, and we find the explosion coefficient V.

Keywords

Curse of dimensionality, Statistics and Probability, [MATH.MATH-PR] Mathematics [math]/Probability [math.PR], Numerical Analysis, Approximation complexity, Algebra and Number Theory, Control and Optimization, Applied Mathematics, Tractability, Linear approximation error, Gaussian processes, Random fields

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Average
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hybrid
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