Sequential Design for Functional Calibration of Computer Models
Author:
Affiliation:
1. Department of Industrial & Systems Engineering, Texas A & M University, College Station, TX
2. Walmart Labs, San Bruno, CA
Funder
Division of Civil, Mechanical and Manufacturing Innovation
Publisher
Informa UK Limited
Subject
Applied Mathematics,Modelling and Simulation,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/00401706.2017.1377638
Reference40 articles.
1. Arendt, P., Apley, D., and Chen, W. (2012), “Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability,” Transactions of ASME, Journal of Mechanical Design, 134, 100908-1–100908-12.
2. Atamturktur, S., Hegenderfer, J., Williams, B., Egeberg, M., Lebensohn, R. A., and Unal, C. (2015), “A Resource Allocation Framework for Experiment-based Validation of Numerical Models,” Mechanics of Advanced Materials and Structures, 22, 641–654.
3. Bayarri, M. J., Berger, J. O., Paulo, R., Sacks, J., Cafeo, J. A., Cavendish, J., Lin, C., and Tu, J. (2007), “A Framework for Validation of Computer Models,” Technometrics, 49, 138–154.
4. Nonparametric functional calibration of computer models
5. Cohn, D. A., Ghahramani, Z., and Jordan, M. (1996), “Active Learning with Statistical Models,” Journal of Applied Intelligent Research, 4, 129–145.
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