Statistical and Inductive Inference by Minimum Message Length

• Main Author: Wallace, C.S (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2005.
• Series: Information Science and Statistics,
• Subjects: Statistics.; Coding theory.; Mathematical statistics.; Artificial intelligence.; Statistical Theory and Methods.; Artificial Intelligence (incl. Robotics).; Coding and Information Theory.; Probability and Statistics in Computer Science.

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...

Table of Contents:

• Inductive Inference
• Information
• Strict Minimum Message Length (SMML)
• Approximations to SMML
• MML: Quadratic Approximations to SMML
• MML Details in Some Interesting Cases
• Structural Models
• The Feathers on the Arrow of Time
• MML as a Descriptive Theory
• Related Work.