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...
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| Format: | eBook |
| Language: | English |
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New York, NY
Springer New York
2005, 2005
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| Edition: | 1st ed. 2005 |
| Series: | Information Science and Statistics
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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