Adaptive Numerical Designs for the Calibration of Computer Codes-Reference-Cited by-同舟云学术

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Adaptive Numerical Designs for the Calibration of Computer Codes

Published:2018-01 Issue:1 Volume:6 Page:151-179
ISSN:2166-2525
Container-title:SIAM/ASA Journal on Uncertainty Quantification
language:en
Short-container-title:SIAM/ASA J. Uncertainty Quantification

Author:

Damblin Guillaume,Barbillon Pierre,Keller Merlin,Pasanisi Alberto,Parent Éric

Funder

Agence Nationale de la Recherche

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://epubs.siam.org/doi/pdf/10.1137/15M1033162

Reference30 articles.

1. Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes

2. Diagnostics for Gaussian Process Emulators

3. A Framework for Validation of Computer Models

4. Learning about physical parameters: the importance of model discrepancy

5. Statistical calibration of computer simulations

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1. Efficient Bayesian automatic calibration of a functional–structural wheat model using an adaptive design and a metamodelling approach;Journal of Experimental Botany;2023-08-26

2. Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models;Technometrics;2023-08-09

3. Validation of a Computer Code for the Energy Consumption of a Building, with Application to Optimal Electric Bill Pricing;Econometrics;2022-11-29

4. A D-Optimal Sequential Calibration Design for Computer Models;Mathematics;2022-04-20

5. A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input;Technometrics;2021-10-19

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