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Surrogate-assisted Bayesian inference inverse material identification method and application to advanced high strength steel
3 references·1 citing·24 second hopsampled
Surrogate-assisted Bayesian inference inverse material identification method and application to advanced high strength steel (2015)Surrogate-assisted Bayesian inference inv…A Bayesian statistical method for quantifying model form uncertainty and two model combination methods (2014)A Bayesian statistical method…Stochastic spectral methods for efficient Bayesian solution of inverse problems (2006)Stochastic spectral methods f…Orthogonal Array-Based Latin Hypercubes (1993)Orthogonal Array-Based Latin …Unified uncertainty representation and quantification based on insufficient input data (2017)Unified uncertainty represent…THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Orthogonal Column Latin Hypercubes and Their Application in Computer Experiments (1998)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Algorithmic construction of optimal symmetric Latin hypercube designs (2000)An efficient algorithm for constructing optimal design of computer experiments (2004)Stochastic Finite Elements: A Spectral Approach (1991)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)An adaptive multi-element generalized polynomial chaos method for stochastic differential equations (2005)A Stochastic Collocation Approach to Bayesian Inference in Inverse Problems (2009)Simulation-based optimal Bayesian experimental design for nonlinear systems (2012)Active Subspace Methods in Theory and Practice: Applications to Kriging Surfaces (2014)Two methods for the structured assessment of model uncertainty by experts in performance assessments of radioactive waste repositories (1996)Calibration, validation, and sensitivity analysis: What's what (2006)A Bayesian approach for quantification of model uncertainty (2010)Error correction in multi-fidelity molecular dynamics simulations using functional uncertainty quantification (2016)A computational framework for Bayesian inference in plasticity models characterisation (2017)Model discrepancy calibration across experimental settings (2020)Challenge problems: uncertainty in system response given uncertain parameters (2004)Imprecise probabilities in engineering analyses (2013)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Nonparametric uncertainty representation method with different insufficient data from two sources (2018)Determination of sample size for input variables in RBDO through bi-objective confidence-based design optimization under input model uncertainty (2019)Robust optimization of uncertain structures based on interval closeness coefficients and the 3D violation vectors of interval constraints (2019)
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References

  • 1993Orthogonal Array-Based Latin Hypercubes859 cited
  • 2006Stochastic spectral methods for efficient Bayesian solution of inverse problems471 cited
  • 2014A Bayesian statistical method for quantifying model form uncertainty and two model combination methods53 cited

Cited by

  • 2017Unified uncertainty representation and quantification based on insufficient input data16 cited

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