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.
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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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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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Global Sensitivity Analysis and Wasserstein Spaces [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2021 Sensitivity indices are commonly used to quantity the relative inuence of any specic group of input variables on the output of a computer code. In this paper, we focus both on computer codes the output of which is a cumulative distribution function and on stochastic computer codes.
Fort, Jean-Claude +2 more
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Energies, 2021 Power systems are increasingly affected by various sources of uncertainty at all levels. The investigation of their effects thus becomes a critical challenge for their design and operation.
Mirko Ginocchi +2 more
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Global sensitivity analysis for Building-Stock Energy Models: Application of three global approaches [PDF]
E3S Web of Conferences, 2022 Buildings-Stock Energy Models (BSEMs) recently gained vast momentum in battling the climate emergency. They allow for quick evaluation of competing policy solutions for determining effective energy reduction recommendations in the building sector.
Van Hove Matthias Y.C. +2 more
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Global sensitivity analysis of COVID-19 mathematical model
Alexandria Engineering Journal, 2021 In this paper, we applied the Sobol’s method on an already existing mathematical model of coronavirus disease 2019 (covid-19). The objectives of this research work are to study the individual effects of involved parameters as well as combine (mutual ...
Zizhen Zhang, Raheem Gul, Anwar Zeb
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A Surrogate Model for Rapidly Assessing the Size of a Wildfire over Time
Fire, 2021 Rapid estimates of the risk from potential wildfires are necessary for operational management and mitigation efforts. Computational models can provide risk metrics, but are typically deterministic and may neglect uncertainties inherent in factors driving
Ujjwal KC +3 more
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