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Generalized measures of information, Bayes' likelihood ratio and Jaynes' formalism

This paper relates generalized measures of information to expected likelihood functions (ELFs) derived from Bayes' equation. It then demonstrates that Jaynes' formalism may be extended to formulate a class of minimally-prejudiced models of which those derived from Shannon's measure are but a limiting and special case. The role of probable inference and of information-minimizing models in design is commented on.
Year of publication:
1975
Authors: March, L ; Batty, M
Published in:
Environment and Planning B: Planning and Design. - Pion Ltd, London, ISSN 1472-3417. - Vol. 2.1975, 1, p. 99-105
Publisher: Pion Ltd, London
Type of publication: Article
Source:
Persistent link: https://www.econbiz.de/10005174924
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