The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Optimal experimental design and some related control problems
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Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
Breiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
Reinforcement Learning: A Survey
Kaelbling, L. P., Littman, M. L., & Moore, A. W. (1996) · Journal of Artificial Intelligence Research · doi:10.1613/jair.301 · Cited by 8,972
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
Nadaraya, E. A. (1964) · Theory of Probability & Its Applications · doi:10.1137/1109020 · Cited by 3,462
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
An algebraic framework for linear identification
Fliess, M., & Sira–Ramírez, H. (2003) · ESAIM: Control, Optimisation and Calculus of Variations · doi:10.1051/cocv:2003008 · Cited by 534
Cited by
Cai, C., Rodet, T., & Lambert, M. (2014) · Journal of Physics: Conference Series · doi:10.1088/1742-6596/542/1/012009 · Cited by 12,185
von Toussaint, U. (2011) · Reviews of Modern Physics · doi:10.1103/revmodphys.83.943 · Cited by 422
Robot Model Identification and Learning: A Modern Perspective
Lee, T., Kwon, J., Wensing, P. M., & Park, F. C. (2024) · Annual Review of Control, Robotics, and Autonomous Systems · doi:10.1146/annurev-control-061523-102310 · Cited by 34
A global parallel model based design of experiments method to minimize model output uncertainty
Bazil, J. N., Buzzard, G. T., & Rundell, A. E. (2012) · Bulletin of Mathematical Biology · doi:10.1007/s11538-011-9686-9 · Cited by 28
Metadata
- Authors
- Pronzato, L.
- Venue
- Automatica
- Publisher
- Elsevier BV
- Published
- 2008-02
- Volume
- 44
- Issue
- 2
- Pages
- 303-325
- ISSN
- 0005-1098 (ISSN-L)
- OpenAlex
- W2124293649
- Cited by
- 243
- References
- 8
- FWCI
- 15.74
- Type
- journal article
- Language
- en
- Open access
- green
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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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.
