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Adaptive multiscale predictive modelling
16 references·1 citing·28 second hop
Adaptive multiscale predictive modelling (2018)Adaptive multiscale predictive modellingBig data need big theory too (2016)Big data need big theory tooVerification and Validation in Scientific Computing (2010)Verification and Validation i…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…A systematic approach to model validation based on Bayesian updates and prediction related rejection criteria (2008)A systematic approach to mode…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …A Framework for Validation of Computer Models (2007)A Framework for Validation of…Uncertainty and Information (2005)Uncertainty and InformationMonte Carlo Methods in Financial Engineering (2003)Monte Carlo Methods in Financ…Making best use of model evaluations to compute sensitivity indices (2002)Making best use of model eval…Verification and Validation in Computational Science and Engineering (1998)Verification and Validation i…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…About the use of rank transformation in sensitivity analysis of model output (1995)About the use of rank transfo…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …Scientific reasoning: the Bayesian approach (1990)Scientific reasoning: the Bay…Empirical Model Building and Response Surfaces (1988)Empirical Model Building and …Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory (1973)Study of the sensitivity of c…Goal-oriented adaptive finite element multilevel Monte Carlo with convergence rates (2022)Goal-oriented adaptive finite…Statistics for Experimenters (1979)Response Surfaces: Designs and Analyses (1997)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data (2014)Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)How to avoid a perfunctory sensitivity analysis (2010)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)Multilevel Monte Carlo Path Simulation (2008)Can Time‐Varying Risk of Rare Disasters Explain Aggregate Stock Market Volatility? (2013)Simulation Modeling and Analysis (2016)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)Imprecise probabilities in engineering analyses (2013)Combustion kinetic model uncertainty quantification, propagation and minimization (2014)A rational analysis of the selection task as optimal data selection. (1994)Individual differences in rational thought. (1998)How persuasive is a good fit? A comment on theory testing. (2000)Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations (2004)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)
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References

  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 1988Empirical Model Building and Response Surfaces5,235 cited
  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 cited
  • 2003Monte Carlo Methods in Financial Engineering3,818 cited
  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 cited
  • 2002Making best use of model evaluations to compute sensitivity indices2,225 cited
  • 1998Verification and Validation in Computational Science and Engineering2,153 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 2010Verification and Validation in Scientific Computing1,551 cited
  • 1990Scientific reasoning: the Bayesian approach1,245 cited
  • 1973Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory1,041 cited
  • 2007A Framework for Validation of Computer Models656 cited
  • 1995About the use of rank transformation in sensitivity analysis of model output340 cited
  • 2005Uncertainty and Information306 cited
  • 2016Big data need big theory too229 cited

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  • 2008A systematic approach to model validation based on Bayesian updates and prediction related rejection criteria76 cited
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    • 2022Goal-oriented adaptive finite element multilevel Monte Carlo with convergence rates8 cited