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An Empirical Bayes Approach to Statistics
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Citations
Cited by
Whatever next? Predictive brains, situated agents, and the future of cognitive science
Clark, A. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12000477 · Cited by 5,924
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
Abdar, M., Pourpanah, F., Hussain, S., Rezazadegan, D., Liu, L., Ghavamzadeh, M., Fieguth, P., Cao, X., Khosravi, A., Acharya, U. R., et al. (2021) · Information Fusion · doi:10.1016/j.inffus.2021.05.008 · Cited by 3,111
“Inspired from transfer learning and empirical Bayes (EB) [87], MOPED [88] used a deterministic weights, which was derived from a pretrained DNNs with same architecture, to select meaningful prior distributions over the weight space.”
MethodEstimation of probabilities from sparse data for the language model component of a speech recognizer
Katz, S. (1987) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1987.1165125 · Cited by 1,637
Parametric empirical Bayes inference: theory and applications
Morris, C. N. (1983) · Journal of the American Statistical Association · doi:10.1080/01621459.1983.10477920 · Cited by 1,448
Prior Selection for Vector Autoregressions
Giannone, D., Lenza, M., & Primiceri, G. E. (2015) · Review of Economics and Statistics · doi:10.1162/rest_a_00483 · Cited by 710
Metadata
- Authors
- Robbins, H. E.
- Venue
- Springer Series in Statistics
- Publisher
- Springer New York
- Published
- 1992
- Pages
- 388-394
- ISSN
- 0172-7397 (ISSN-L)
- OpenAlex
- W1590636096
- Cited by
- 838
- References
- 0
- FWCI
- 7.34
- Type
- book chapter
- Language
- en
- Open access
- closed
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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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: An Empirical Bayes Approach to Statistics. https://app.cochat.ai/papers/10.1007/978-1-4612-0919-5_26
- The paper
- Robbins, H. E. (1992). An Empirical Bayes Approach to Statistics. Springer Series in Statistics. https://doi.org/10.1007/978-1-4612-0919-5_26
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.
