The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Sequential kriging optimization using multiple-fidelity evaluations
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Citations
Cites
Efficient Global Optimization of Expensive Black-Box Functions
Jones, D. R., Schonlau, M., & Welch, W. J. (1998) · Journal of Global Optimization · doi:10.1023/a:1008306431147 · Cited by 8,070
Design and Analysis of Computer Experiments
Sacks, J., Welch, W. J., Mitchell, T. J., & Wynn, H. P. (1989) · Statistical Science · doi:10.1214/ss/1177012413 · Cited by 6,919
Cressie, N. A. C. (1993) · Wiley Series in Probability and Statistics · doi:10.1002/9781119115151 · Cited by 6,507
Bayesian calibration of computer models
Kennedy, M. C., & O'Hagan, A. (2001) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00294 · Cited by 4,222
Large Sample Properties of Simulations Using Latin Hypercube Sampling
Stein, M. (1987) · Technometrics · doi:10.1080/00401706.1987.10488205 · Cited by 2,471
The Design and Analysis of Computer Experiments
Santner, T. J., Williams, B. J., & Notz, W. I. (2003) · Springer Series in Statistics · doi:10.1007/978-1-4757-3799-8 · Cited by 2,170
Self-citationStatistics for Spatial Data, Revised Edition.
Cressie, N. A. C. (1994) · Biometrics · doi:10.2307/2533238 · Cited by 1,856
Predicting the output from a complex computer code when fast approximations are available
Kennedy, M. (2000) · Biometrika · doi:10.1093/biomet/87.1.1 · Cited by 1,605
A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise
Kushner, H. J. (1964) · Journal of Basic Engineering · doi:10.1115/1.3653121 · Cited by 1,082
Designs for Computer Experiments
Sacks, J., Schiller, S. B., & Welch, W. J. (1989) · Technometrics · doi:10.1080/00401706.1989.10488474 · Cited by 970
Cited by
Machine Learning Predictions of a Multiresolution Climate Model Ensemble
Anderson, G. J., & Lucas, D. D. (2018) · Geophysical Research Letters · doi:10.1029/2018gl077049 · Cited by 60
Efficient multi-fidelity simulation optimization
Xu, S., Zhang, S., Huang, S., Chen, S.-H., Lee, S. H., & Celik, S. (2014) · Proceedings of the Winter Simulation Conference 2014 · doi:10.1109/wsc.2014.7020219 · Cited by 42
Gao, H., Zhu, X., & Wang, J.-X. (2020) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2020.113047 · Cited by 27
Metadata
- Authors
- Huang, D., Allen, T. T., Notz, W. I., & Miller, R. A.
- Venue
- Structural and Multidisciplinary Optimization
- Published
- 2006-05-23
- Volume
- 32
- Issue
- 5
- Pages
- 369-382
- ISSN
- 1615-147X (ISSN-L)
- 1615-1488
- OpenAlex
- W1972209418
- Cited by
- 414
- References
- 25
- FWCI
- 7.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Huang, D., Allen, T. T., Notz, W. I., & Miller, R. A. (2006). Sequential kriging optimization using multiple-fidelity evaluations. Structural and Multidisciplinary Optimization. https://doi.org/10.1007/s00158-005-0587-0
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
