Computer experiments: a review

DOI10.1007/s10182-010-0147-9zbMath1477.62213OpenAlexW2094783828MaRDI QIDQ2006874

David M. Steinberg, Sigal Levy

Publication date: 12 October 2020

Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10182-010-0147-9

zbMATH Keywords

Gaussian processfunctional dataLatin hypercube designsspace fillingdeterministic output

Mathematics Subject Classification ID

Functional data analysis (62R10) Design of statistical experiments (62K99)

Related Items (11)

Indicator-based Bayesian variable selection for Gaussian process models in computer experiments ⋮ Optimal designs for Gaussian process models via spectral decomposition ⋮ Design and analysis of computer experiments ⋮ Latin hypercube sampling with inequality constraints ⋮ Optimal Latin hypercube designs for the Kullback-Leibler criterion ⋮ Comparing and generating Latin hypercube designs in kriging models ⋮ Using recursive algorithms for the efficient identification of smoothing spline ANOVA models ⋮ Modelling of a thermomechanically coupled forming process based on functional outputs from a finite element analysis and from experimental measurements ⋮ Metamodeling of aircraft infrared signature dispersion ⋮ Slope reliability analysis using surrogate models via new support vector machines with swarm intelligence ⋮ Simulation of clinical trials: a review with emphasis on the design issues

Uses Software

• fda (R)
• gss

Cites Work

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