Statistical and Inductive Inference by Minimum Message Length
The Minimum Message Length (MML) Principle is an information-theoretic approach to induction, hypothesis testing, model selection, and statistical inference. MML, which provides a formal specification for the implementation of Occam's Razor, asserts that the best explanation of observed data is...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Ausgabe: | 1st ed. 2005. |
| Schriftenreihe: | Information Science and Statistics
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| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Statistical and inductive inference by minimum message length, C.S. Wallace, New York, Springer, 2005, 1 vol. (XV-429 p.), Information science and statistics, 0-387-23795-X |
Inhaltsangabe:
- Inductive Inference Information Strict Minimum Message Length (SMML) Approximations to SMML MML: Quadratic Approximations to SMML MML Details in Some Interesting Cases Structural Models The Feathers on the Arrow of Time MML as a Descriptive Theory Related Work