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A Probabilistic Treatment of Multiple Uncertainty Types: NASA UQ Challenge
9 references·1 citing·46 second hop
A Probabilistic Treatment of Multiple Uncertainty Types: NASA UQ Challenge (2014)A Probabilistic Treatment of Multiple Unc…Estimation of global sensitivity indices for models with dependent variables (2011)Estimation of global sensitiv…New statistical methods in risk assessment by probability bounds (2009)New statistical methods in ri…Uncertainty analysis for computer simulations through validation and calibration (2008)Uncertainty analysis for comp…Aleatory or epistemic? Does it matter? (2008)Aleatory or epistemic? Does i…Estimating the approximation error when fixing unessential factors in global sensitivity analysis (2006)Estimating the approximation …Use of Kriging Models to Approximate Deterministic Computer Models (2005)Use of Kriging Models to Appr…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2005)Sensitivity Analysis in Pract…Summary from the epistemic uncertainty workshop: consensus amid diversity (2004)Summary from the epistemic un…Recovery of Inter-Block Information when Block Sizes are Unequal (1971)Recovery of Inter-Block Infor…Sequential Refinement of Uncertainty Through Bayesian Inference and Global Sensitivity Analysis (2015)Sequential Refinement of Unce…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Making best use of model evaluations to compute sensitivity indices (2002)Sensitivity Analysis in Practice (2002)Sobol' Indices and Shapley Value (2014)A guide to uncertainty quantification and sensitivity analysis for cardiovascular applications (2015)The Combination of Information in Generally Balanced Designs (1968)Iterative Estimation of Variance Components for Non-Orthogonal Data (1969)Model-Based Geostatistics (1998)Interpolation of Spatial Data (1999)Modeling dependent effect sizes with three-level meta-analyses: A structural equation modeling approach. (2013)Probability, reliability and statistical methods in engineering design (1999)Global Sensitivity Analysis. The Primer (2007)Framework for Quantification and Risk Analysis for Layered Uncertainty using Optimization: NASA UQ Challenge (2014)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Uncertainty quantification for multiscale modeling of polymer nanocomposites with correlated parameters (2014)Sensitivity analysis: A review of recent advances (2015)The Complexities of Agent-Based Modeling Output Analysis (2015)Propagation of Uncertainty in Risk Assessments: The Need to Distinguish Between Uncertainty Due to Lack of Knowledge and Uncertainty Due to Variability (1994)Uncertainties in risk analysis: Six levels of treatment (1996)Constructing Probability Boxes and Dempster-Shafer Structures (2003)Quantification of epistemic and aleatory uncertainties in level-1 probabilistic safety assessment studies (2006)A Combined Monte Carlo and Possibilistic Approach to Uncertainty Propagation in Event Tree Analysis (2008)Separating the contributions of variability and parameter uncertainty in probability distributions (2012)An Introduction to Copulas (1999)Risk Analysis: A Quantitative Guide (2000)Stochastic Methods in Risk Analysis (2017)A research into the development of models of random variables as part of the structural reliability analysis performed in the absence of some statistical information (2021)The Logic of Scientific Discovery. (1960)Structural Reliability Methods (1996)Logic of Scientific Discovery, The (2010)Imprecise probabilities in engineering analyses (2013)Variable importance analysis: A comprehensive review (2015)STATISTICS FOR SPATIAL DATA (1992)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Kriging Metamodeling in Simulation: A Review (2007)Calculations of Sobol indices for the Gaussian process metamodel (2008)DiceKriging , DiceOptim : Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization (2012)Design and Analysis of Computer Experiments (1989)Stochastic Finite Elements: A Spectral Approach (1991)Quantification of margins and uncertainties of complex systems in the presence of aleatoric and epistemic uncertainty (2011)Test Resource Allocation in Hierarchical Systems Using Bayesian Networks (2013)Separation of aleatory and epistemic uncertainty in probabilistic model validation (2015)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)
this work references cited by second hop

References

  • 1971Recovery of Inter-Block Information when Block Sizes are Unequal4,069 cited
  • 2008Aleatory or epistemic? Does it matter?2,450 cited
  • 2005Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,843 cited
  • 2005Use of Kriging Models to Approximate Deterministic Computer Models840 cited
  • 2006Estimating the approximation error when fixing unessential factors in global sensitivity analysis395 cited
  • 2011Estimation of global sensitivity indices for models with dependent variables347 cited
  • 2004Summary from the epistemic uncertainty workshop: consensus amid diversity146 cited
  • 2008Uncertainty analysis for computer simulations through validation and calibration83 cited
  • 2009New statistical methods in risk assessment by probability bounds23 cited

Cited by

  • 2015Sequential Refinement of Uncertainty Through Bayesian Inference and Global Sensitivity Analysis6 cited

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