The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Blind Kriging: A New Method for Developing Metamodels
Abstract
Kriging is a useful method for developing metamodels for product design optimization. The most popular kriging method, known as ordinary kriging, uses a constant mean in the model. In this article, a modified kriging method is proposed, which has an unknown mean model. Therefore, it is called blind kriging. The unknown mean model is identified from experimental data using a Bayesian variable selection technique. Many examples are presented, which show remarkable improvement in prediction using blind kriging over ordinary kriging. Moreover, a blind kriging predictor is easier to interpret and seems to be more robust against mis-specification in the correlation parameters.
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Cites
Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
Efron, B., Hastie, T., Johnstone, I., & Tibshirani, R. (2004) · The Annals of Statistics · doi:10.1214/009053604000000067 · Cited by 9,357
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Sacks, J., Welch, W. J., Mitchell, T. J., & Wynn, H. P. (1989) · Statistical Science · doi:10.1214/ss/1177012413 · Cited by 6,919
Variable Selection via Gibbs Sampling
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Comparative studies of metamodelling techniques under multiple modelling criteria
Jin, R., Chen, W., & Simpson, T. W. (2001) · Structural and Multidisciplinary Optimization · doi:10.1007/s00158-001-0160-4 · Cited by 1,709
Subset Selection in Regression
(2003) · Technometrics · doi:10.1198/tech.2003.s144 · Cited by 1,463
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Self-citationExperiments - Planning, Analysis and Parameter Design Optimization
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Cited by
Recent advances in surrogate-based optimization
Forrester, A. I. J., & Keane, A. J. (2009) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2008.11.001 · Cited by 2,357
Engineering Design via Surrogate Modelling: A Practical Guide
Forrester, A. I. J., Sóbester, A., & Keane, A. J. (2008) · doi:10.1002/9780470770801 · Cited by 2,309
Yondo, R., Andrés, E., & Valero, E. (2018) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2017.11.003 · Cited by 311
Basic Framework and Main Methods of Uncertainty Quantification
Zhang, J., Yin, J., & Wang, R. (2020) · Mathematical Problems in Engineering · doi:10.1155/2020/6068203 · Cited by 52
Metadata
- Authors
- Joseph, V. R., Hung, Y., & Sudjianto, A.
- Venue
- Journal of Mechanical Design
- Publisher
- ASME International
- Published
- 2008-02-04
- Volume
- 130
- Issue
- 3
- ISSN
- 0161-8458 (ISSN-L)
- 1050-0472
- 1528-9001
- OpenAlex
- W2115620436
- Cited by
- 264
- References
- 26
- FWCI
- 25.63
- Type
- journal article
- Language
- en
- Open access
- closed
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