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Model uncertainty analysis using data analytics for life-cycle assessment (LCA) applications
10 references·0 citing·43 second hop
Model uncertainty analysis using data analytics for life-cycle assessment (LCA) applications (2018)Model uncertainty analysis using data ana…A Review on Global Sensitivity Analysis Methods (2015)A Review on Global Sensitivit…A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry (2015)A new surrogate modeling tech…An overview of methods to evaluate uncertainty of deterministic models in decision support (2014)An overview of methods to eva…Probabilistic uncertainty specification: Overview, elaboration techniques and their application to a mechanistic model of carbon flux (2011)Probabilistic uncertainty spe…A Framework for Validation of Computer Models (2007)A Framework for Validation of…Parameter perturbation method for dynamic responses of structures with uncertain-but-bounded parameters based on interval analysis (2005)Parameter perturbation method…Modeling uncertainty in flow simulations via generalized polynomial chaos (2003)Modeling uncertainty in flow …The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …Uncertainty in Mechanics Problems—Interval–Based Approach (2001)Uncertainty in Mechanics Prob…Antioptimization of structures with large uncertain-but-non-random parameters via interval analysis (1998)Antioptimization of structure…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)Global Sensitivity Analysis. The Primer (2007)Random forests for global sensitivity analysis: A selective review (2020)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization (2022)Stochastic Finite Elements: A Spectral Approach (1991)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Surrogate models for uncertainty quantification: An overview (2017)Surrogate-assisted global sensitivity analysis: an overview (2020)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)Calibration, validation, and sensitivity analysis: What's what (2006)Measures of agreement between computation and experiment: Validation metrics (2006)Sensitivity analysis: A review of recent advances (2015)Convex Models of Uncertainty in Applied Mechanics (1990)Comparison of dynamic response of structures with uncertain-but-bounded parameters using non-probabilistic interval analysis method and probabilistic approach (2003)A survey of non-probabilistic uncertainty treatment in finite element analysis (2004)Interval Monte Carlo methods for structural reliability (2010)Dilemmas in a general theory of planning (1973)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Modelling with stakeholders – Next generation (2015)Developing successful environmental decision support systems: Challenges and best practices (2020)Model uncertainty, political contestation, and public trust in science: Evidence from the COVID-19 pandemic (2020)Fuzzy sets (1965)Fuzzy sets (1996)Analysis of Uncertain Structural Systems Using Interval Analysis (1997)Non-probabilistic finite element analysis for parametric uncertainty treatment in applied mechanics: Recent advances (2010)Recent Trends in the Modeling and Quantification of Non-probabilistic Uncertainty (2019)Probabilistic Methods in the Theory of Structures (1984)Non-probabilistic convex model process: A new method of time-variant uncertainty analysis and its application to structural dynamic reliability problems (2013)Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review (2017)Modeling, analysis, and optimization under uncertainties: a review (2021)The Design and Analysis of Computer Experiments (2003)Uncertain Judgements: Eliciting Experts' Probabilities (2006)Guidance on Expert Knowledge Elicitation in Food and Feed Safety Risk Assessment (2014)Expert Knowledge Elicitation: Subjective but Scientific (2019)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Global sensitivity analysis using polynomial chaos expansions (2007)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)An adaptive multi-element generalized polynomial chaos method for stochastic differential equations (2005)Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (2008)Fast Numerical Methods for Stochastic Computations: A Review (2009)
this work references cited by second hop

References

  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
  • 2003Modeling uncertainty in flow simulations via generalized polynomial chaos1,428 cited
  • 2015A Review on Global Sensitivity Analysis Methods1,113 cited
  • 2007A Framework for Validation of Computer Models656 cited
  • 2014An overview of methods to evaluate uncertainty of deterministic models in decision support539 cited
  • 1998Antioptimization of structures with large uncertain-but-non-random parameters via interval analysis420 cited
  • 2001Uncertainty in Mechanics Problems—Interval–Based Approach289 cited
  • 2015A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry248 cited
  • 2005Parameter perturbation method for dynamic responses of structures with uncertain-but-bounded parameters based on interval analysis190 cited
  • 2011Probabilistic uncertainty specification: Overview, elaboration techniques and their application to a mechanistic model of carbon flux122 cited

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