Statistical and Inductive Inference by Minimum Message Length

Publisher: Springer
Language: English
ISBN: 038723795X
Paperback: 432 pages
Data: May 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.

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