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Generalized polynomial chaos-informed efficient stochastic kriging (Q2133029)

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Language	Label	Description	Also known as
English	Generalized polynomial chaos-informed efficient stochastic kriging	scientific article

Statements

scholarly article

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Generalized polynomial chaos-informed efficient stochastic kriging (English)

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Journal of Computational Physics

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publication date

29 April 2022

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zbMATH Keywords

generalized polynomial chaos

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stochastic kriging

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sequential design

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stochastic simulation

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1016/j.jcp.2021.110598

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An Efficient Surrogate Model for Emulation and Physics Extraction of Large Eddy Simulations

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Bayesian Treed Gaussian Process Models With an Application to Computer Modeling

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The effect of the nugget on Gaussian process emulators of computer models

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Stochastic Kriging for Simulation Metamodeling

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Stochastic kriging with biased sample estimates

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Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation

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Uncertainty quantification in stability analysis of chaotic systems with discrete delays

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Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics

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The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations

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Local Polynomial Chaos Expansion for Linear Differential Equations with High Dimensional Random Inputs

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Polynomial Chaos Expansion of a Multimodal Random Vector

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Data-driven polynomial chaos expansions: a weighted least-square approximation

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Least squares polynomial chaos expansion: a review of sampling strategies

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Analysis of discrete least squares on multivariate polynomial spaces with evaluations at low-discrepancy point sets

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Coherence motivated sampling and convergence analysis of least squares polynomial chaos regression

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Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes

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Sliced Latin Hypercube Designs

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Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction

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A new surrogate modeling technique combining Kriging and polynomial chaos expansions - application to uncertainty analysis in computational dosimetry

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POLYNOMIAL-CHAOS-BASED KRIGING

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Identifiers

Mathematics Subject Classification ID

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zbMATH DE Number

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10.1016/J.JCP.2021.110598

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Sitelinks

Mathematics(1 entry)

mardi Publication:2133029

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