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Uncertainty Quantification in Hierarchical Development of Computational Models
9 references·1 citing·45 second hop
Uncertainty Quantification in Hierarchical Development of Computational Models (2009)Uncertainty Quantification in Hierarchica…Uncertainty analysis for computer simulations through validation and calibration (2008)Uncertainty analysis for comp…Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …Statistical Methods for Model Validation under Uncertainty (2006)Statistical Methods for Model…Model Predictive Capability Assessment Under Uncertainty (2006)Model Predictive Capability A…Combining experimental data and computer simulations, with an application to flyer plate experiments (2006)Combining experimental data a…Use of Kriging Models to Approximate Deterministic Computer Models (2005)Use of Kriging Models to Appr…The Design and Analysis of Computer Experiments (2003)The Design and Analysis of Co…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Maximum Likelihood Estimation of Models for Residual Covariance in Spatial Regression (1984)Maximum Likelihood Estimation…Quantification of Aleatoric and Epistemic Uncertainty in Computational Models of Complex Systems (2011)Quantification of Aleatoric a…The Concept of Probability in Safety Assessments of Technological Systems (1990)Combination of Evidence in Dempster-Shafer Theory (2002)Alternative representations of epistemic uncertainty (2004)Design of Experiments (1936)On a Measure of the Information Provided by an Experiment (1956)Minimax and maximin distance designs (1990)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Interpretation of significance levels and effect sizes by psychological researchers. (1986)Combining Field Data and Computer Simulations for Calibration and Prediction (2004)Bayesian cross-entropy methodology for optimal design of validation experiments (2006)Validation and error estimation of computational models (2006)Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)Analysis of Computer Experiments With Functional Response (2013)An efficient approach for quantifying parameter uncertainty in the SST turbulence model (2019)A global surrogate model technique based on principal component analysis and Kriging for uncertainty propagation of dynamic systems (2020)ON STATIONARY PROCESSES IN THE PLANE (1954)Spatial statistics (1981)Spatial Econometrics: Methods and Models (1988)Model-Based Geostatistics (1998)Interpolation of Spatial Data (1999)Structural reliability under combined random load sequences (1978)Designs for Computer Experiments (1989)Probability, reliability and statistical methods in engineering design (1999)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)Metamodel-based importance sampling for structural reliability analysis (2013)Stochastic Finite Elements: A Spectral Approach (1991)Verification and Validation in Computational Science and Engineering (1998)10.1007/978-1-4899-4485-6 (2000)Comparing Time Histories for Validation of Simulation Models: Error Measures and Metrics (2010)Uncertainty Quantification Metrics with Varying Statistical Information in Model Calibration and Validation (2017)A model validation framework based on parameter calibration under aleatory and epistemic uncertainty (2020)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)Space-Filling Designs for Computer Experiments (2003)Space-Filling Designs for Computer Experiments (2018)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)
this work references cited by second hop

References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2003The Design and Analysis of Computer Experiments2,219 cited
  • 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
  • 1984Maximum Likelihood Estimation of Models for Residual Covariance in Spatial Regression851 cited
  • 2005Use of Kriging Models to Approximate Deterministic Computer Models840 cited
  • 2006Combining experimental data and computer simulations, with an application to flyer plate experiments88 cited
  • 2008Uncertainty analysis for computer simulations through validation and calibration83 cited
  • 2006Model Predictive Capability Assessment Under Uncertainty72 cited
  • 2006Statistical Methods for Model Validation under Uncertainty7 cited

Cited by

  • 2011Quantification of Aleatoric and Epistemic Uncertainty in Computational Models of Complex Systems6 cited

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