The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Statistical and Inductive Inference by Minimum Message Length
Overview
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Citations
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Information Theory and an Extension of the Maximum Likelihood Principle
Akaike, H. (1998) · Springer Series in Statistics · doi:10.1007/978-1-4612-1694-0_15 · Cited by 17,781
A Method for the Construction of Minimum-Redundancy Codes
Huffman, D. (1952) · Proceedings of the IRE · doi:10.1109/jrproc.1952.273898 · Cited by 6,334
An Introduction to Kolmogorov Complexity and Its Applications
Li, M., & Vitányi, P. (2019) · Texts in Computer Science · doi:10.1007/978-3-030-11298-1 · Cited by 3,681
Arithmetic coding for data compression
Witten, I. H., Neal, R. M., & Cleary, J. G. (1987) · Communications of the ACM · doi:10.1145/214762.214771 · Cited by 2,877
Three approaches to the quantitative definition of information*
Kolmogorov, A. N. (1968) · International Journal of Computer Mathematics · doi:10.1080/00207166808803030 · Cited by 2,031
A formal theory of inductive inference. Part II
Solomonoff, R. J. (1964) · Information and Control · doi:10.1016/s0019-9958(64)90131-7 · Cited by 1,758
A Universal Prior for Integers and Estimation by Minimum Description Length
Rissanen, J. (1983) · The Annals of Statistics · doi:10.1214/aos/1176346150 · Cited by 1,672
An Information Measure for Classification
Wallace, C. S., & Boulton, D. M. (1968) · The Computer Journal · doi:10.1093/comjnl/11.2.185 · Cited by 933
Some Contributions to Maximum Likelihood Factor Analysis
Jöreskog, K. G. (1967) · Psychometrika · doi:10.1007/bf02289658 · Cited by 870
Cited by
Universal intelligence: a definition of machine intelligence
Legg, S., & Hutter, M. (2007) · Minds and Machines · doi:10.1007/s11023-007-9079-x · Cited by 803
Knowledge acquisition with forgetting: an incremental and developmental setting
Martínez-Plumed, F., Ferri, C., Hernández-Orallo, J., & Ramírez-Quintana, M. J. (2015) · Adaptive Behavior · doi:10.1177/1059712315608675 · Cited by 14
Metadata
- Venue
- Information Science and Statistics
- Publisher
- Springer-Verlag
- Published
- 2005
- OpenAlex
- W1534506107
- Cited by
- 349
- References
- 34
- FWCI
- 4.92
- Type
- book
- Language
- en
- Open access
- closed
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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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: Statistical and Inductive Inference by Minimum Message Length. https://app.cochat.ai/papers/10.1007/0-387-27656-4
- The paper
- Statistical and Inductive Inference by Minimum Message Length. (2005). Information Science and Statistics. https://doi.org/10.1007/0-387-27656-4
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.
