Science/Engineering Statistical and Inductive Inference by Minimum Message Length (Information Science and Statistics) (038723795X)

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Publisher: Springer; 1 edition

Language: English

ISBN: 038723795X

Paperback: 432 pages

Data: May 26, 2005

Format: PDF

Description: 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 the shortest. Further, an explanation is acceptable (i.e. the induction is justified) only if the explanation is shorter than the original data.

This book gives a sound introduction to the Minimum Message Length Principle and its applications, provides the theoretical arguments for the adoption of the principle, and shows the development of certain approximations that assist its practical application. MML appears also to provide both a normative and a descriptive basis for inductive reasoning generally, and scientific induction in particular. The book describes this basis and aims to show its relevance to the Philosophy of Science.

Statistical and Inductive Inference by Minimum Message Length will be of special interest to graduate students and researchers in Machine Learning and Data Mining, scientists and analysts in various disciplines wishing to make use of computer techniques for hypothesis discovery, statisticians and econometricians interested in the underlying theory of their discipline, and persons interested in the Philosophy of Science. The book could also be used in a graduate-level course in Machine Learning and Estimation and Model-selection, Econometrics and Data Mining.

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	Programming Statistical and Inductive Inference by Minimum Message Length C.S. Wallace, "Statistical and Inductive Inference by Minimum Message Length" Springer; 1 edition (May 26, 2005) \| ISBN: 038723795X \| 432 pages \| PDF \| 2,7 Mb RS Link__________________________________________________ ...
	Science/Engineering Information and Complexity in Statistical Modeling (Information Science and Statistics) Publisher: Springer; 1 editionLanguage: EnglishISBN: 0387366105Paperback: 144 pagesData: January 25, 2007Format: PDFDescription: No statistical model is "true" or "false," "right" or "wrong"; the models just have varying performance, which ...
	Science/Engineering Statistical and Inductive Inference by Minimum Message Length (Repost) C.S. Wallace, "Statistical and Inductive Inference by Minimum Message Length"Springer; 1 edition (May 26, 2005) \| ISBN: 038723795X \| 432 pages \| PDF \| 2,7 MbThe Minimum Message Length (MML) Principle is an information-theoretic approach to ...
	Mathematics All of Statistics: A Concise Course in Statistical Inference Larry Wasserman ¡°All of Statistics: A Concise Course in Statistical Inference" Springer \| 2004-09-17 \| ISBN: 0387402721 \| 442 pages \| PDF \| 36,2 Mb This book is for people who want to learn probability and statistics quickly. It brin ...
	Technical All of Statistics: A Concise Course in Statistical Inference (ReUp) Larry Wasserman, "All of Statistics: A Concise Course in Statistical Inference" Springer 2004 \| ISBN-10: 0387402721 \| 442 Pages \| PDF \| 36,2 MB This book is for people who want to learn probability and statistics quickly. It brings toget ...
	Tutorial Advances in Minimum Description Length: Theory and Applications (Neural Information Processing) Peter D. Grunwald, In Jae Myung, Mark A. Pitt, "Advances in Minimum Description Length: Theory and Applications"Publisher: The MIT Press \| 2005-04-01 \| ISBN 0262072629 \| PDF \| 454 pages \| 4.8 MBThe process of inductive inference—to infer g ...

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	Programming Statistical and Inductive Inference by Minimum Message Length C.S. Wallace, "Statistical and Inductive Inference by Minimum Message Length" Springer; 1 edition (May 26, 2005) \| ISBN: 038723795X \| 432 pages \| PDF \| 2,7 Mb RS Link__________________________________________________ ...
	Science/Engineering Information and Complexity in Statistical Modeling (Information Science and Statistics) Publisher: Springer; 1 editionLanguage: EnglishISBN: 0387366105Paperback: 144 pagesData: January 25, 2007Format: PDFDescription: No statistical model is "true" or "false," "right" or "wrong"; the models just have varying performance, which ...
	Science/Engineering Statistical and Inductive Inference by Minimum Message Length (Repost) C.S. Wallace, "Statistical and Inductive Inference by Minimum Message Length"Springer; 1 edition (May 26, 2005) \| ISBN: 038723795X \| 432 pages \| PDF \| 2,7 MbThe Minimum Message Length (MML) Principle is an information-theoretic approach to ...
	Mathematics All of Statistics: A Concise Course in Statistical Inference Larry Wasserman ¡°All of Statistics: A Concise Course in Statistical Inference" Springer \| 2004-09-17 \| ISBN: 0387402721 \| 442 pages \| PDF \| 36,2 Mb This book is for people who want to learn probability and statistics quickly. It brin ...
	Technical All of Statistics: A Concise Course in Statistical Inference (ReUp) Larry Wasserman, "All of Statistics: A Concise Course in Statistical Inference" Springer 2004 \| ISBN-10: 0387402721 \| 442 Pages \| PDF \| 36,2 MB This book is for people who want to learn probability and statistics quickly. It brings toget ...
	Tutorial Advances in Minimum Description Length: Theory and Applications (Neural Information Processing) Peter D. Grunwald, In Jae Myung, Mark A. Pitt, "Advances in Minimum Description Length: Theory and Applications"Publisher: The MIT Press \| 2005-04-01 \| ISBN 0262072629 \| PDF \| 454 pages \| 4.8 MBThe process of inductive inference—to infer g ...

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