The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Robust maximum-likelihood estimation of multivariable dynamic systems
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Citations
Cites
Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
Cited by
Identification of Hammerstein–Wiener models
Wills, A., Schön, T. B., Ljung, L., & Ninness, B. (2013) · Automatica · doi:10.1016/j.automatica.2012.09.018 · Cited by 295
Self-citationWhat is theory of mind? A psychometric study of theory of mind and intelligence
Navarro, E. (2022) · Cognitive Psychology · doi:10.1016/j.cogpsych.2022.101495 · Cited by 36
Metadata
- Authors
- Gibson, S., & Ninness, B.
- Venue
- Automatica
- Publisher
- Elsevier BV
- Published
- 2005-10
- Volume
- 41
- Issue
- 10
- Pages
- 1667-1682
- ISSN
- 0005-1098 (ISSN-L)
- OpenAlex
- W2011691068
- Cited by
- 266
- References
- 2
- FWCI
- 16.50
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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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.
