Coupling life cycle assessment and global sensitivity analysis to evaluate the uncertainty and key processes associated with carbon footprint of rice production in Eastern China [PDF]
Frontiers in Plant Science, 2022 Graphical ...
Qiang Xu +18 more
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Trajectory-based global sensitivity analysis in multiscale models [PDF]
Scientific ReportsThis research introduces a novel global sensitivity analysis (GSA) framework for agent-based models (ABMs) that explicitly handles their distinctive features, such as multi-level structure and temporal dynamics.
Valentina Bazyleva +2 more
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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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Global Sensitivity Analysis with Mixtures: A Generalized Functional ANOVA Approach. [PDF]
Risk Anal, 2022 This work investigates aspects of the global sensitivity analysis of computer codes when alternative plausible distributions for the model inputs are available to the analyst. Analysts may decide to explore results under each distribution or to aggregate
Borgonovo E +4 more
europepmc +2 more sources
Accelerated global sensitivity analysis of genome-wide constraint-based metabolic models [PDF]
BMC Bioinformatics, 2021 Background Genome-wide reconstructions of metabolism opened the way to thorough investigations of cell metabolism for health care and industrial purposes.
Marco S. Nobile +3 more
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Coasting: Model description, global sensitivity analysis, and scenario discovery [PDF]
MethodsX, 2020 This manuscript provides information for replicating the Coasting agent-based model presented in “Simulating emerging coastal tourism vulnerabilities: an agent-based modelling approach”.
Jillian Student +2 more
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Fairness seen as Global Sensitivity Analysis
Machine Learning, 2022 International audienceEnsuring that a predictor is not biased against a sensible feature is the key of Fairness learning. Conversely, Global Sensitivity Analysis is used in numerous contexts to monitor the influence of any feature on an output variable ...
Gamboa, Fabrice +3 more
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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.
Paredes, Enrique +2 more
core +4 more sources
A Workflow for Global Sensitivity Analysis of PBPK Models [PDF]
Frontiers in Pharmacology, 2011 Physiologically based pharmacokinetic models have a potentially significant role in the development of a reliable predictive toxicity testing strategy. The structure of PBPK models are ideal frameworks into which disparate in vitro and in vivo data can ...
Kevin eMcNally +2 more
doaj +3 more sources
Global sensitivity analysis in epidemiological modeling. [PDF]
Eur J Oper Res, 2023 Operations researchers worldwide rely extensively on quantitative simulations to model alternative aspects of the COVID-19 pandemic. Proper uncertainty quantification and sensitivity analysis are fundamental to enrich the modeling process and communicate correctly informed insights to decision-makers.
Lu X, Borgonovo E.
europepmc +4 more sources