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Calibration experimental design considering field response and model uncertainty
15 references·6 citing·37 second hop
Calibration experimental design considering field response and model uncertainty (2017)Calibration experimental design consideri…Mixed Efficient Global Optimization for Time-Dependent Reliability Analysis (2015)Mixed Efficient Global Optimi…Selection of model discrepancy priors in Bayesian calibration (2014)Selection of model discrepanc…Fast estimation of expected information gains for Bayesian experimental designs based on Laplace approximations (2013)Fast estimation of expected i…Simulation-based optimal Bayesian experimental design for nonlinear systems (2012)Simulation-based optimal Baye…High‐dimensional model representation for structural reliability analysis (2008)High‐dimensional model repres…Multivariate significance testing and model calibration under uncertainty (2007)Multivariate significance tes…The Design and Analysis of Computer Experiments (2004)The Design and Analysis of Co…An Integrated Framework for Optimization Under Uncertainty Using Inverse Reliability Strategy (2004)An Integrated Framework for O…Probability, Reliability and Statistical Methods in Engineering Design (2001)Probability, Reliability and …Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Probability, reliability and statistical methods in engineering design (1999)Probability, reliability and …Bayesian Experimental Design: A Review (1995)Bayesian Experimental Design:…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Large Sample Properties of Si…DESIGN OF EXPERIMENTS IN NON-LINEAR SITUATIONS (1959)DESIGN OF EXPERIMENTS IN NON-…Bayesian calibration of multi-level model with unobservable distributed response and application to miter gates (2022)Bayesian calibration of multi…Testing Design Optimization for Uncertainty Reduction in Generating Off-Road Mobility Map Using a Bayesian Approach (2019)Testing Design Optimization f…Simulation and Sensor Optimization for Multifidelity Dynamics Model Calibration (2019)Simulation and Sensor Optimiz…Unified uncertainty representation and quantification based on insufficient input data (2017)Unified uncertainty represent…Uncertainty aggregation and reduction in structure–material performance prediction (2017)Uncertainty aggregation and r…Sensor placement for calibration of spatially varying model parameters (2017)Sensor placement for calibrat…Applied Statistical Decision Theory (1962)Theory of optimal experiments (1972)Kriging metamodeling in simulation: A review (2007)Response surface methodology (2010)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Stochastic Finite Elements: A Spectral Approach (1991)Multivariate stochastic approximation using a simultaneous perturbation gradient approximation (1992)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Adaptive Smolyak Pseudospectral Approximations (2013)A Review of Modern Computational Algorithms for Bayesian Optimal Design (2015)Engineering Design with Digital Thread (2018)Exact and Invariant Second-Moment Code Format (1974)Quality Engineering Using Robust Design (1991)Analytical Variance-Based Global Sensitivity Analysis in Simulation-Based Design Under Uncertainty (2004)Relative Entropy Based Method for Probabilistic Sensitivity Analysis in Engineering Design (2005)Dimension reduction method for reliability-based robust design optimization (2007)Structural Reliability Analysis and Prediction (2017)Optimal Discretization of Random Fields (1993)Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCSi: A Kriging-based method to deal with small failure probabilities and time-consuming models (2018)AK-SYSi: an improved adaptive Kriging model for system reliability analysis with multiple failure modes by a refined U learning function (2018)ESC: an efficient error-based stopping criterion for kriging-based reliability analysis methods (2018)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Measures of agreement between computation and experiment: Validation metrics (2006)Adaptive Designs of Experiments for Accurate Approximation of a Target Region (2010)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 new uncertainty importance measure (2006)SALib: An open-source Python library for Sensitivity Analysis (2017)A Basis for the Selection of a Response Surface Design (1959)Response Surface Methodology: 1966-1988 (1989)Designing Environmental Field Studies (1991)A review of techniques for parameter sensitivity analysis of environmental models (1994)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Verification, validation, and predictive capability in computational engineering and physics (2004)
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References

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  • 2004The Design and Analysis of Computer Experiments122 cited
  • 2014Selection of model discrepancy priors in Bayesian calibration99 cited
  • 2007

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Multivariate significance testing and model calibration under uncertainty
66 cited

Cited by

  • 2017Sensor placement for calibration of spatially varying model parameters41 cited
  • 2017Uncertainty aggregation and reduction in structure–material performance prediction25 cited
  • 2022Bayesian calibration of multi-level model with unobservable distributed response and application to miter gates24 cited
  • 2019Testing Design Optimization for Uncertainty Reduction in Generating Off-Road Mobility Map Using a Bayesian Approach18 cited
  • 2017Unified uncertainty representation and quantification based on insufficient input data16 cited
  • 2019Simulation and Sensor Optimization for Multifidelity Dynamics Model Calibration11 cited