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Science/Engineering Statistical and Inductive Inference by Minimum Message Length (Repost)

Posted on 2010-03-16




Name:Science/Engineering Statistical and Inductive Inference by Minimum Message Length (Repost)
ASIN/ISBN:038723795X
Language:English
File size:2.7 Mb
ISBN: 038723795X
Pages: 432 pages
File Type: PDF
File Size: 2,7 Mb
Other Info: Springer; 1 edition (May 26, 2005)
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C.S. Wallace, "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 the shortest. Further, an explanation is acceptable (i.e. the induction is justified) only if the explanation is shorter than the original data.

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