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Generalized polynomial chaos-informed efficient stochastic Kriging
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Generalized polynomial chaos-informed efficient stochastic Kriging (2021)Generalized polynomial chaos-informed eff…2018 Winter Simulation Conference (WSC) (2018)2018 Winter Simulation Confer…Least squares polynomial chaos expansion: A review of sampling strategies (2017)Least squares polynomial chao…POLYNOMIAL-CHAOS-BASED KRIGING (2015)POLYNOMIAL-CHAOS-BASED KRIGINGA new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry (2015)A new surrogate modeling tech…Sliced Latin Hypercube Designs (2012)Sliced Latin Hypercube DesignsNumerical Methods for Stochastic Computations: A Spectral Method Approach (2010)Numerical Methods for Stochas…Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)Efficient computation of glob…Stochastic Kriging for Simulation Metamodeling (2009)Stochastic Kriging for Simula…An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis (2009)An adaptive algorithm to buil…Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (2008)Uncertainty Quantification an…Calculations of Sobol indices for the Gaussian process metamodel (2008)Calculations of Sobol indices…Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes (2004)Numerical Challenges in the U…The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …Interpolation of Spatial Data: Some Theory for Kriging (2000)Interpolation of Spatial Data…Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction (1993)Bayesian Design and Analysis …Bayesian design and analysis of computer experiments: Use of derivatives in surface prediction (1991)Bayesian design and analysis …Stochastic Finite Elements: A Spectral Approach (1991)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Stochastic spectral methods for efficient Bayesian solution of inverse problems (2006)The Malliavin Calculus and Related Topics (2006)On the convergence of generalized polynomial chaos expansions (2011)Simulation-based optimal Bayesian experimental design for nonlinear systems (2012)Structural Reliability Methods (1996)Global sensitivity analysis using polynomial chaos expansions (2007)Reliability-based design optimization using kriging surrogates and subset simulation (2011)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)Factorial Sampling Plans for Preliminary Computational Experiments (1991)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2018)Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark (2021)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Point-Collocation Nonintrusive Polynomial Chaos Method for Stochastic Computational Fluid Dynamics (2010)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)Design and Analysis of Computer Experiments (1989)STATISTICS FOR SPATIAL DATA (1992)Asymptotic normality and efficiency of two Sobol index estimators (2013)Making sense of global sensitivity analyses (2013)Global sensitivity analysis with dependence measures (2014)Statistics for Spatial Data (1993)Statistics for Spatial Data. (1993)Proceedings of the 2002 Winter Simulation Conference (2002)Regression and Kriging metamodels with their experimental designs in simulation: A review (2016)Design and Analysis of Simulation Experiments (2018)Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients (2011)Stochastic finite element methods for partial differential equations with random input data (2014)Chaospy: An open source tool for designing methods of uncertainty quantification (2015)Model-Based Geostatistics (1998)Use of Kriging Models to Approximate Deterministic Computer Models (2005)Spatial Panel Econometrics (2008)Rare Event Estimation Using Polynomial-Chaos Kriging (2016)Adaptive approaches in metamodel-based reliability analysis: A review (2020)
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References

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  • 2000Interpolation of Spatial Data: Some Theory for Kriging1,916 cited
  • 2010Numerical Methods for Stochastic Computations: A Spectral Method Approach1,107 cited
  • 2009An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis834 cited
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  • 2015POLYNOMIAL-CHAOS-BASED KRIGING398 cited
  • 2010Efficient computation of global sensitivity indices using sparse polynomial chaos expansions383 cited
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  • 1993Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction299 cited
  • 1991Bayesian design and analysis of computer experiments: Use of derivatives in surface prediction276 cited
  • 2015A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry248 cited
  • 2012Sliced Latin Hypercube Designs

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193 cited
  • 2017Least squares polynomial chaos expansion: A review of sampling strategies157 cited
  • 20182018 Winter Simulation Conference (WSC)143 cited
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