Results 31 to 40 of about 2,456,167 (285)
Aerodynamic Design Based on Global Sensitivity Analysis Method [PDF]
Xibei Gongye Daxue Xuebao, 2018 To deal with the problem of the difficult optimization search and expensive computational cost caused by large-scale design variables, the hierarchical optimization design system based on the global sensitivity analysis method is established in this ...
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Quantile-oriented global sensitivity analysis of design resistance
Journal of Civil Engineering and Management, 2019 The article investigates the application of a new type of global quantile-oriented sensitivity analysis (called QSA in the article) and contrasts it with established Sobol’ sensitivity analysis (SSA). Comparison of QSA of the resistance design value (0.1
Zdeněk Kala
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Global sensitivity analysis of an end-to-end marine ecosystem model of the North Sea : factors affecting the biomass of fish and benthos [PDF]
, 2014 Comprehensive analysis of parameter and driver sensitivity is key to establishing the credibility of models of complex systems. This is especially so for models of natural systems where experimental manipulation of the real-world to provide controlled ...
Cameron, Angus +3 more
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Differentially Private Data Analysis of Social Networks via Restricted Sensitivity [PDF]
, 2013 We introduce the notion of restricted sensitivity as an alternative to global and smooth sensitivity to improve accuracy in differentially private data analysis.
Blocki, Jeremiah +3 more
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Global Poverty Estimates: A Sensitivity Analysis
IMF Working Papers, 2011 Current estimates of global poverty vary substantially across studies. In this paper we undertake a novel sensitivity analysis to highlight the importance of methodological choices in estimating global poverty. We measure global poverty using different data sources, parametric and nonparametric estimation methods, and multiple poverty lines.
Camelia Minoiu, Shatakshee Dhongde
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Global Sensitivity Analysis for Statistical Model Parameters [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2019 revisions
Joseph L. Hart +2 more
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Optimizing Genetic Circuits by Global Sensitivity Analysis [PDF]
Biophysical Journal, 2004 Artificial genetic circuits are becoming important tools for controlling cellular behavior and studying molecular biosystems. To genetically optimize the properties of complex circuits in a practically feasible fashion, it is necessary to identify the best genes and/or their regulatory components as mutation targets to avoid the mutation experiments ...
Feng, Xiao-jiang +5 more
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Global sensitivity analysis with dependence measures [PDF]
Journal of Statistical Computation and Simulation, 2014 Global sensitivity analysis with variance-based measures suffers from several theoretical and practical limitations, since they focus only on the variance of the output and handle multivariate variables in a limited way. In this paper, we introduce a new class of sensitivity indices based on dependence measures which overcomes these insufficiencies ...
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Sobol tensor trains for global sensitivity analysis [PDF]
Reliability Engineering & System Safety, 2019 Sobol indices are a widespread quantitative measure for variance-based global sensitivity analysis, but computing and utilizing them remains challenging for high-dimensional systems. We propose the tensor train decomposition (TT) as a unified framework for surrogate modeling and global sensitivity analysis via Sobol indices.
Ballester-Ripoll, Rafael +2 more
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Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity Test
Journal of Chemistry, 2018 Global sensitivity analysis (GSA) of large chemical reaction mechanisms remains a challenge since the model with uncertainties in the large number of input parameters provides large dimension of input parameter space and tends to be difficult to evaluate
Shengqiang Lin +3 more
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