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Sensitivity Analysis of Spatial and/or Temporal Phenomena
15 references·4 citing·40 second hop
Sensitivity Analysis of Spatial and/or Temporal Phenomena (2015)Sensitivity Analysis of Spatial and/or Te…New improvements in the use of dependence measures for sensitivity analysis and screening (2016)New improvements in the use o…Computer Model Validation with Functional Output (2015)Computer Model Validation wit…Sensitivity analysis for multidimensional and functional outputs (2014)Sensitivity analysis for mult…Global sensitivity analysis with dependence measures (2014)Global sensitivity analysis w…Development of a surrogate model and sensitivity analysis for spatio-temporal numerical simulators (2014)Development of a surrogate mo…Modeling uncertainty in the earth sciences (2012)Modeling uncertainty in the e…Modeling Uncertainty in the Earth Sciences (2011)Modeling Uncertainty in the E…Global sensitivity analysis of stochastic computer models with joint metamodels (2011)Global sensitivity analysis o…Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models (2010)Multivariate sensitivity anal…Global sensitivity analysis for models with spatially dependent outputs (2010)Global sensitivity analysis f…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Sensitivity analysis of spatial models (2008)Sensitivity analysis of spati…Global sensitivity analysis of computer models with functional inputs (2008)Global sensitivity analysis o…Sensitivity analysis when model outputs are functions (2006)Sensitivity analysis when mod…Sensitivity analysis in presence of model uncertainty and correlated inputs (2006)Sensitivity analysis in prese…Sensitivity analysis in general metric spaces (2021)Sensitivity analysis in gener…A surrogate model for efficient quantification of uncertainties in multilayer shallow water flows (2021)A surrogate model for efficie…Non-intrusive uncertainty quantification in the simulation of turbulent spray combustion using Polynomial Chaos Expansion: A case study (2019)Non-intrusive uncertainty qua…Resampling strategies to improve surrogate model‐based uncertainty quantification: Application to LES of LS89 (2018)Resampling strategies to impr…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)A Common Rationale for Global Sensitivity Measures and Their Estimation (2016)Introduction to Sensitivity Analysis (2017)Uncertainty propagation in risk and resilience analysis of hierarchical systems (2021)A new uncertainty importance measure (2006)Global Sensitivity Analysis. The Primer (2007)Asymptotic normality and efficiency of two Sobol index estimators (2013)Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost (2018)Sensitivity Analysis Based on Cramér--von Mises Distance (2018)Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation (2019)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Empirical Model Building and Response Surfaces (1988)Importance measures in global sensitivity analysis of nonlinear models (1996)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Making best use of model evaluations to compute sensitivity indices (2002)Introduction to Sensitivity Analysis (2007)Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis (2015)Sensitivity analysis methods in the biomedical sciences (2020)Design and Analysis of Computer Experiments (1989)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)How to avoid a perfunctory sensitivity analysis (2010)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)A General Probabilistic Framework for uncertainty and global sensitivity analysis of deterministic models: A hydrological case study (2013)The Complexities of Agent-Based Modeling Output Analysis (2015)A risk-based multi-criteria spatial decision analysis for solar power plant site selection in different climates: A case study in Iran (2019)Verification and Validation in Computational Science and Engineering (1998)The Design and Analysis of Computer Experiments (2003)Nested Latin hypercube designs (2009)A Bayesian approach for quantification of model uncertainty (2010)Improving Identifiability in Model Calibration Using Multiple Responses (2012)Global Sensitivity Analysis for multivariate output using Polynomial Chaos Expansion (2014)Human-oriented design of collaborative robots (2017)Model uncertainties of flexible structures vibrations induced by internal flows (2011)Ensemble Kalman Filters and geometric characterization of sensitivity spaces for uncertainty quantification in optimization (2015)DGSA: A Matlab toolbox for distance-based generalized sensitivity analysis of geoscientific computer experiments (2016)Decision Making Under Uncertainty (2010)Uncertainty Quantification (2017)
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References

  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 cited
  • 2012Modeling uncertainty in the earth sciences373 cited
  • 2008Sensitivity analysis of spatial models277 cited
  • 2010Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models243 cited
  • 2015Computer Model Validation with Functional Output206 cited
  • 2006Sensitivity analysis in presence of model uncertainty and correlated inputs199 cited
  • 2014Global sensitivity analysis with dependence measures195 cited
  • 2011Modeling Uncertainty in the Earth Sciences166 cited
  • 2006Sensitivity analysis when model outputs are functions162 cited
  • 2014Sensitivity analysis for multidimensional and functional outputs131 cited
  • 2011Global sensitivity analysis of stochastic computer models with joint metamodels130 cited
  • 2010Global sensitivity analysis for models with spatially dependent outputs92 cited
  • 2008Global sensitivity analysis of computer models with functional inputs86 cited
  • 2016New improvements in the use of dependence measures for sensitivity analysis and screening61 cited
  • 2014Development of a surrogate model and sensitivity analysis for spatio-temporal numerical simulators

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45 cited

Cited by

  • 2019Non-intrusive uncertainty quantification in the simulation of turbulent spray combustion using Polynomial Chaos Expansion: A case study19 cited
  • 2021Sensitivity analysis in general metric spaces16 cited
  • 2018Resampling strategies to improve surrogate model‐based uncertainty quantification: Application to LES of LS8915 cited
  • 2021A surrogate model for efficient quantification of uncertainties in multilayer shallow water flows12 cited