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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 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 of CASC2D Hydrological Model Parameters [PDF]
长江科学院院报[Objectives] The parameter calibration of the CASC2D hydrological model is mainly based on manual trial-and-error methods. It lacks a global sensitivity analysis of model parameters and the identification of relationships between parameters and ...
LI Xiao-ying, ZHANG Jin-hui, ZHAO Hong-jie
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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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Axioms, 2023 China bears a heavy burden due to tuberculosis (TB) with hundreds of thousands of people falling ill with the disease every year. Therefore, it is necessary to understand the effectiveness of current control measures in China.
Zhongkai Guo, Liang Zhang
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Distribution‐Based Global Sensitivity Analysis in Hydrology [PDF]
Water Resources Research, 2019 AbstractGlobal sensitivity analysis (GSA) is routinely used in academic setting to quantify the influence of input variability and uncertainty on predictions of a quantity of interest. Practical applications of GSA are hampered by its high computational cost, which arises from the need to run large (e.g., groundwater) models multiple times, and by its ...
Valentina Ciriello +2 more
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Multiscale Global Sensitivity Analysis for Stochastic Chemical Systems [PDF]
Multiscale Modeling & Simulation, 2021 19 ...
Merritt, Michael +2 more
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