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
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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Global Sensitivity Analysis for Statistical Model Parameters [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2019 revisions
Joseph Hart +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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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 for stochastic simulators based on generalized lambda surrogate models [PDF]
, 2021 Global sensitivity analysis aims at quantifying the impact of input variability onto the variation of the response of a computational model. It has been widely applied to deterministic simulators, for which a set of input parameters has a unique ...
Sudret, B., Zhu, X.
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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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Fairness seen as global sensitivity analysis
Machine Learning, 2022 Ensuring 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. We reconcile these two domains by showing how Fairness can be seen as a special framework of Global Sensitivity Analysis ...
Bénesse, Clément +3 more
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Global sensitivity analysis of the single particle lithium-ion battery model with electrolyte [PDF]
, 2020 The importance of global sensitivity analysis (GSA) has been well established in many scientific areas. However, despite its critical role in evaluating a model’s plausibility and relevance, most lithium ion battery models are published without any ...
Grandjean, Thomas R. B. +3 more
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Global Sensitivity Analysis of Factors Influencing the Surface Temperature of Mold during Autoclave Processing. [PDF]
Polymers (Basel)He J, Zhan L, Yang Y, Xu Y.
europepmc +3 more sources