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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
Sensitivity of Global Pasturelands to Climate Variation [PDF]
Earth's Future, 2019 Pasturelands are globally extensive, sensitive to climate, and support livestock production systems that provide an essential source of food in many parts of the world. In this paper, we integrate information from remote sensing, global climate, and land
Radost Stanimirova +6 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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Price Sensitivity on the Global Wheat Market
Zagadnienia Ekonomiki RolnejThis article concerns the issue of price sensitivity on the global wheat market, understood as the ratio of the change in prices to the change in the volume of harvests and stocks as supply variables.
Łopaciuk Wiesław, Rembisz Włodzimierz
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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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Mathematical modelling of echinococcosis in human, dogs and sheep with intervention
Journal of Biological Dynamics, 2022 In this study, a model for the spread of cyst echinococcosis with interventions is formulated. The disease-free and endemic equilibrium points of the model are calculated.
Birhan Getachew Bitew +2 more
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Shanghai Jiaotong Daxue xuebao, 2023 The time resolution of scheduling plan refers to the length of each time interval in the scheduling plan. With the increasing proportion of climate-sensitive renewable energy sources (RES), the volatility of net load during the dispatch interval is ...
YE Zhiliang, LI Canbing, ZHANG Yongjun, LI Licheng, XIAO Yinjing, WU Yuhang, TAI Nengling
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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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Atmosphere, 2023 Land surface parameters are crucial in land surface process model simulations. Considering the complex land surface characteristics of the Loess Plateau, a parametric sensitivity analysis was conducted to determine the key parameters of its Noah Multi ...
Yuanpu Liu +5 more
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Pharmaceutics, 2020 Combination therapy with immune checkpoint blockade and ionizing irradiation therapy (IR) generates a synergistic effect to inhibit tumor growth better than either therapy does alone.
Jong Hyuk Byun +4 more
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