Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity Test
Global sensitivity analysis (GSA) of large chemical reaction mechanisms remains a challenge since the model with uncertainties in the large number of input parameters provides large dimension of input parameter space and tends to be difficult to evaluate
Shengqiang Lin +3 more
doaj +1 more source
Optimization of structures subjected to dynamic load: deterministic and probabilistic methods
This paper deals with the deterministic and probabilistic optimization of structures against bending when submitted to dynamic loads. The deterministic optimization problem considers the plate submitted to a time varying load while the probabilistic one ...
Élcio Cassimiro Alves
doaj +1 more source
Chenglin Ye,1,2 Gina Browne,1,3 Joseph Beyene,1 Lehana Thabane1,2 1Department of Clinical Epidemiology and Biostatistics, McMaster University, 2Biostatistcs Unit, St Joseph's Healthcare Hamilton, 3School of Nursing, McMaster University, Hamilton, ON,
Ye C, Browne G, Beyene J, Thabane L
doaj
Derivative-Variance Hybrid Global Sensitivity Measure with Optimal Sampling Method Selection
This paper proposes a derivative-variance hybrid global sensitivity measure with optimal sampling method selection. The proposed sensitivity measure is as computationally efficient as the derivative-based global sensitivity measure, which also serves as ...
Jiacheng Liu +5 more
doaj +1 more source
Sensitivity analysis of factors in a microfluidics CFD model of coagulation and cardiac applications. [PDF]
Melidoro P +6 more
europepmc +2 more sources
Bayesian Sensitivity Analysis for Causal Estimation With Time-Varying Unmeasured Confounding. [PDF]
Zou Y +4 more
europepmc +1 more source
Bayesian-calibrated global sensitivity analysis for mathematical models using generative AI. [PDF]
Wang X.
europepmc +1 more source
Visualizing stability: a sensitivity analysis framework for t-SNE embeddings. [PDF]
Zabel S, Hennig P, Nieselt K.
europepmc +1 more source
Poset sensitivity analysis reveals post 2020 changes in human development index components. [PDF]
Martori F, Hirai T.
europepmc +1 more source
Sensitivity Analysis for Publication Bias in Diagnostic Meta-Analysis of Sparsity Using the Copas t-Statistic Selection Function. [PDF]
Hu T, Zhou Y, Zhou XH, Hattori S.
europepmc +1 more source

