Augmenting a Simulation Campaign for Hybrid Computer Model and Field Data Experiments-Reference-Cited by-同舟云学术

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Augmenting a Simulation Campaign for Hybrid Computer Model and Field Data Experiments

Published:2024-05-24 Issue: Volume: Page:1-22
ISSN:0040-1706
Container-title:Technometrics
language:en
Short-container-title:Technometrics

Author:

Koermer Scott¹^ORCID,Loda Justin²,Noble Aaron³^ORCID,Gramacy Robert B.²

Affiliation:

1. Statistical Sciences Group, Los Alamos National Laboratory, Los Alamos, NM

2. Department of Statistics, Virginia Polytechnic Institute and State University, Blacksburg, VA

3. Mining and Minerals Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA

Funder

U.S. Department of Energy

National Science Foundation

Los Alamos National Laboratory

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00401706.2024.2345139

Reference60 articles.

1. A preposterior analysis to predict identifiability in the experimental calibration of computer models

2. Ba S. and Joseph V. R. (2018) MaxPro: Maximum Projection Designs R package version 4.1-2.

3. Rare earth elements: A review of applications, occurrence, exploration, analysis, recycling, and environmental impact

4. Diagnostics for Gaussian Process Emulators

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

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