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Simple approach to emulating complex computer models for global sensitivity analysis · Study

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ArticleSimple approach to emulating complex computer models for global sensitivity analysis

Bryan Stanfill2015

Article2015

Simple approach to emulating complex computer models for global sensitivity analysis

Bryan Stanfill · Henrike Mielenz · David J Clifford · Peter J. Thorburn

23 citations·0/0 files stored·Environmental Modelling & Software

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Probabilistic and Robust Engineering Design Simulation Techniques and Applications Gaussian Processes and Bayesian Inference

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References

1991Factorial Sampling Plans for Preliminary Computational Experiments 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index 2007Global sensitivity analysis using polynomial chaos expansions 2010Adaptive sparse polynomial chaos expansion based on least angle regression 2004Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach 1973Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory 2010DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual.1999Analysis of variance designs for model output

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2019Model Variable Augmentation (MVA) for Diagnostic Assessment of Sensitivity Analysis Results 2018Global sensitivity analysis with a hierarchical sparse metamodeling method 2024An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis

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Year2015

Typearticle

Published2015-10-01

VenueEnvironmental Modelling & Software

ISSN-L1364-8152

Languageen

Citations23

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.envsoft.2015.09.011

openalex_workW1879447241

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