Statistical and Inductive Inference by Minimum Message Length :: SCD d'Orléans

Statistical and Inductive Inference by Minimum Message Length

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...

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Библиографические подробности
Главный автор:	Wallace, C.S
Формат:	Livre numérique
Язык:	Anglais
Опубликовано:	New York, NY : Springer New York [20..]. Cham : Springer Nature
Редактирование:	1st ed. 2005.
Серии:	Information Science and Statistics
Online-ссылка:	Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL
Примечание:	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

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