The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Bayesian emulation of complex multi-output and dynamic computer models
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Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
(1999) · Springer Series in Operations Research and Financial Engineering · doi:10.1007/b98874 · Cited by 9,482
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
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
Self-citationStein, M. L. (1999) · Springer Series in Statistics · doi:10.1007/978-1-4612-1494-6 · Cited by 2,348
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference
Strawderman, R. L., & Gamerman, D. (2000) · Journal of the American Statistical Association · doi:10.2307/2669581 · Cited by 1,909
Minimax and maximin distance designs
Johnson, M. E., Moore, L. M., & Ylvisaker, D. (1990) · Journal of Statistical Planning and Inference · doi:10.1016/0378-3758(90)90122-b · Cited by 1,451
Exploratory designs for computational experiments
Morris, M. D., & Mitchell, T. J. (1995) · Journal of Statistical Planning and Inference · doi:10.1016/0378-3758(94)00035-t · Cited by 1,197
Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach
Oakley, J. E., & O'Hagan, A. (2004) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2004.05304.x · Cited by 1,085
Self-citationComputer Model Calibration Using High-Dimensional Output
Higdon, D., Gattiker, J., Williams, B., & Rightley, M. (2008) · Journal of the American Statistical Association · doi:10.1198/016214507000000888 · Cited by 867
Cited by
Lindgren, F., Rue, H., & Lindström, J. (2011) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2011.00777.x · Cited by 2,708
Gaussian process emulation of dynamic computer codes
Conti, S., Gosling, J. P., Oakley, J. E., & O'Hagan, A. (2009) · Biometrika · doi:10.1093/biomet/asp028 · Cited by 195
Self-citation
Metadata
- Authors
- Conti, S., & O’Hagan, A.
- Venue
- Journal of Statistical Planning and Inference
- Publisher
- Elsevier BV
- Published
- 2010-03
- Volume
- 140
- Issue
- 3
- Pages
- 640-651
- ISSN
- 0378-3758 (ISSN-L)
- OpenAlex
- W2040932457
- Cited by
- 417
- References
- 26
- FWCI
- 20.60
- Type
- journal article
- Language
- en
- Open access
- closed
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- Conti, S., & O’Hagan, A. (2010). Bayesian emulation of complex multi-output and dynamic computer models. Journal of Statistical Planning and Inference. https://doi.org/10.1016/j.jspi.2009.08.006
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.