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Showing 1 to 3 of 3 for “"Simulation metamodeling"”.
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Consistency and Uniform Bounds for Heteroscedastic Simulation Metamodeling and Their Applications
Heteroscedastic metamodeling has gained popularity as an effective tool for analyzing and optimizing complex stochastic systems. A heteroscedastic metamodel provides an accurate approximation of the input-output relationship implied by a stochastic simulation experiment whose output is subject to …
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A Dual Metamodeling Perspective for Design and Analysis of Stochastic Simulation Experiments
… and engineering, the development of stochastic simulation metamodeling methodologies has gained momentum in recent years. A majority of the existing methods, such as stochastic kriging (SK), only focus on efficiently metamodeling the mean response surface implied by a stochastic simulation …
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Advances in Sobol' Index Estimation: Metamodeling, Multilevel Monte Carlo Metamodeling, and Nested Simulation Techniques
… limitations through advanced techniques based on metamodeling, multilevel Monte Carlo (MLMC) metamodeling, and nested simulation. We develop two joint metamodel-based estimators for Sobol' indices with established asymptotic normality, enabling reliable uncertainty quantification. Our proposed …