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An Exploratory Study of Two Efficient Approaches for the Sensitivity Analysis of Computationally Expensive Traffic Simulation Models
16 references·0 citing·24 second hop
An Exploratory Study of Two Efficient Approaches for the Sensitivity Analysis of Computationally Expensive Traffic Simulation Models (2014)An Exploratory Study of Two Efficient App…Design and Analysis of Simulation Experiments (2018)Design and Analysis of Simula…“No Free Lunch” Theorems Applied to the Calibration of Traffic Simulation Models (2014)“No Free Lunch” Theorems Appl…Gaussian Process Metamodels for Sensitivity Analysis of Traffic Simulation Models (2013)Gaussian Process Metamodels f…An improved sampling strategy based on trajectory design for application of the Morris method to systems with many input factors (2012)An improved sampling strategy…From screening to quantitative sensitivity analysis. A unified approach (2011)From screening to quantitativ…A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices (2010)A new derivative based import…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Good modeling practice for PAT applications: Propagation of input uncertainty and sensitivity analysis (2009)Good modeling practice for PA…Derivative based global sensitivity measures and their link with global sensitivity indices (2009)Derivative based global sensi…Monte Carlo evaluation of derivative-based global sensitivity measures (2008)Monte Carlo evaluation of der…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Design and Analysis of Simulation Experiments (2007)Design and Analysis of Simula…An effective screening design for sensitivity analysis of large models (2007)An effective screening design…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Simulation Modeling and Analysis. (1983)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)An algorithm for fast optimal Latin hypercube design of experiments (2009)Robust Optimization (2009)Design of computer experiments: space filling and beyond (2011)Regression and Kriging metamodels with their experimental designs in simulation: A review (2016)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A General Probabilistic Framework for uncertainty and global sensitivity analysis of deterministic models: A hydrological case study (2013)Global Sensitivity Analysis of environmental models: Convergence and validation (2016)Sensitivity and uncertainty analysis for flexoelectric nanostructures (2018)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)On the Experimental Attainment of Optimum Conditions (1951)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Sensitivity analysis for volcanic source modeling quality assessment and model selection (2012)What do we mean by sensitivity analysis? The need for comprehensive characterization of “global” sensitivity in E arth and E nvironmental systems models (2015)How to avoid a perfunctory sensitivity analysis (2010)A new uncertainty importance measure (2006)Opening the ‘black box’ of simulations: increased transparency and effective communication through the systematic design of experiments (2011)A Tutorial on Latin Hypercube Design of Experiments (2015)
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References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 cited
  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 cited
  • 2007An effective screening design for sensitivity analysis of large models2,024 cited
  • 2018Design and Analysis of Simulation Experiments449 cited
  • 2009Derivative based global sensitivity measures and their link with global sensitivity indices446 cited
  • 2011From screening to quantitative sensitivity analysis. A unified approach431 cited
  • 2007Design and Analysis of Simulation Experiments317 cited
  • 2008Monte Carlo evaluation of derivative-based global sensitivity measures294 cited
  • 2009Good modeling practice for PAT applications: Propagation of input uncertainty and sensitivity analysis198 cited
  • 2012An improved sampling strategy based on trajectory design for application of the Morris method to systems with many input factors138 cited
  • 2010A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices

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124 cited
  • 2014“No Free Lunch” Theorems Applied to the Calibration of Traffic Simulation Models61 cited
  • 2013Gaussian Process Metamodels for Sensitivity Analysis of Traffic Simulation Models41 cited
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