Information-theoretic aspects of parameter estimation

Yashin AI (1984). Information-theoretic aspects of parameter estimation. In: Adaptive Systems in Control and Signal Processing 1983. Eds. Landau, D., Tomizuka, M. & Auslander, D. M., pp. 99-102 Oxford, UK: Pergamon Press. ISBN 978-0-08-030565-3 DOI:10.1016/B978-0-08-030565-3.50025-3.

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Abstract

This paper deals with the information distance between a model and the real system it is designed to represent. The convergence properties of some Bayesian algorithms are discussed in this context.

Item Type: Book Section
Additional Information: Proceedings of the IFAC Workshop, San Francisco, USA, 20–22 June 1983
Uncontrolled Keywords: parameter estimation; models; information distance; convergence of numerical methods
Research Programs: World Population (POP)
Depositing User: Romeo Molina
Date Deposited: 07 Apr 2016 08:23
Last Modified: 07 Apr 2016 08:25
URI: http://pure.iiasa.ac.at/12499

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