Friday 16 April 2010

Statistical and Inductive Inference by Minimum Message Length Textbook

Statistical and Inductive Inference by Minimum Message Length



Statistical and Inductive Inference by Minimum Message Length (Information Science and Statistics)



The Minimum Message Length (MML) Principle is an information-theoretic approach to induction, hypothesis testing, model selection, and statistical inference. Get and download textbook Statistical and Inductive Inference by Minimum Message Length (Information Science and Statistics) for free
Statistical and Inductive Inference by Minimum Message Length Springer 9781441920157 09781441920157
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 Statistical and Inductive Inference by Minimum Message Length new edition

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Statistical and Inductive Inference By Minimum Message Length: CS Wallace

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Springer 9781441920157 Statistical and Inductive Inference by Minimum Message Length 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 Occams Razor, asserts that the best explanation of observed data is the shortest. Further, an explanation is acceptable (ie the induction is justified) only if the explanati

author cs wallace format paperback language english publication year 21 10 2010 series information science and statistics subject computing it subject 2 computing textbooks study guides title statistical and inductive inference by minimum message length author cs wallace publisher springer new york publication date jun 16 2005 pages 448 binding paperback dimensions 6 25 wx 9 25 hx 1 00 d isbn 1441920153 subject computers computer science brand new paperback all orders get full access to our



Statistical and Inductive Inference by Minimum Message Length Textbook


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
MML appears also to provide both a normative

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