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Statistical inverse problems: Discretization, model reduction and inverse crimes
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Citations
Cited by
Effects of Forward Model Errors on EEG Source Localization
Akalin Acar, Z., & Makeig, S. (2013) · Brain Topography · doi:10.1007/s10548-012-0274-6 · Cited by 265
Implicit data crimes: Machine learning bias arising from misuse of public data
Shimron, E., Tamir, J. I., Wang, K., & Lustig, M. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2117203119 · Cited by 112
Metadata
- Authors
- Kaipio, J., & Somersalo, E.
- Venue
- Journal of Computational and Applied Mathematics
- Publisher
- Elsevier BV
- Published
- 2007-01
- Volume
- 198
- Issue
- 2
- Pages
- 493-504
- ISSN
- 0377-0427 (ISSN-L)
- OpenAlex
- W2011161612
- Cited by
- 540
- References
- 0
- FWCI
- 17.86
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Statistical inverse problems: Discretization, model reduction and inverse crimes. https://app.cochat.ai/papers/10.1016/j.cam.2005.09.027
- The paper
- Kaipio, J., & Somersalo, E. (2007). Statistical inverse problems: Discretization, model reduction and inverse crimes. Journal of Computational and Applied Mathematics. https://doi.org/10.1016/j.cam.2005.09.027
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.
