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Conglomerate Multi-fidelity Gaussian Process Modeling, with Application to Heavy-Ion Collisions

  • Published:2024-05-30 Issue:2 Volume:12 Page:473-502
  • ISSN:2166-2525
  • Container-title:SIAM/ASA Journal on Uncertainty Quantification
  • language:en
  • Short-container-title:SIAM/ASA J. Uncertainty Quantification

Author:

Ji Yi12,Yuchi Henry Shaowu32,Soeder Derek4,Paquet J.-F.45,Bass Steffen A.4,Joseph V. Roshan3ORCID,Wu C. F. Jeff3,Mak Simon6

Affiliation:

1. Department of Statistical Science, Duke University, Durham, NC 27708-0251 USA.

2. Joint first authors.

3. H. Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30308 USA.

4. Department of Physics, Duke University, Durham, NC 27708 USA.

5. Department of Physics and Astronomy & Department of Mathematics, Vanderbilt University, Nashville, TN 37240 USA.

6. Corresponding author. Department of Statistical Science, Duke University, Durham, NC 27708-0251 USA.

Funder

U.S. Department of Energy

Division of Mathematical Sciences

Office of Advanced Cyberinfrastructure

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applications of emulation and Bayesian methods in heavy-ion physics;Journal of Physics G: Nuclear and Particle Physics;2024-08-27
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