Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models-Reference-Cited by-同舟云学术

Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models

Published:2023-08-09 Issue: Volume: Page:1-15
ISSN:0040-1706
Container-title:Technometrics
language:en
Short-container-title:Technometrics

Author:

Sürer Özge¹^ORCID,Plumlee Matthew²,Wild Stefan M.²³^ORCID

Affiliation:

1. Department of Information Systems and Analytics, Miami University, Oxford, OH

2. Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL

3. Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA

Funder

National Science Foundation

NSF

U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research

Publisher

Informa UK Limited

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00401706.2023.2246157

Reference37 articles.

1. Azimi, J., Fern, A., and Fern, X. (2010), “Batch Bayesian Optimization via Simulation Matching,” in Advances in Neural Information Processing Systems . Red Hook, NY, USA: Curran Associates Inc.

2. Modularization in Bayesian analysis, with emphasis on analysis of computer models

3. A Framework for Validation of Computer Models

4. Replication or Exploration? Sequential Design for Stochastic Simulation Experiments

5. BART: Bayesian additive regression trees

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