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Title: One-sided approximation of Bayes rule and its application to regression model with Cauchy noise (English)
Author: Kárný, Miroslav
Author: Hangos, Katalin M.
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 24
Issue: 5
Year: 1988
Pages: 321-339
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Category: math
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MSC: 62F15
MSC: 62J05
MSC: 90C90
MSC: 93E10
idZBL: Zbl 0682.62019
idMR: MR970210
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Date available: 2009-09-24T18:07:31Z
Last updated: 2012-06-05
Stable URL: http://hdl.handle.net/10338.dmlcz/125622
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Reference: [2] B. Harris, G. Heinell: The relation between statistical decision theory and approximation theory.In: Optimizing Method in Statistics -- Proceedings of an International Conference (J. S. Rustagi, ed.). Academic Press, New York--San Francisco--London 1979. MR 0541563
Reference: [3] P. J. Huber: Robust Statistics.J. Wiley, New York 1981. Zbl 0536.62025, MR 0606374
Reference: [4] M. Kárný: Algorithms for determining the model structure of a controlled system.Kybernetika 19 (1983), 164-178.
Reference: [5] M. Kárný, K. M. Hangos: Approximation of Bayes rule.Preprints of the 7th IFAC/IFORS Symposium on Identification and System parameter Estimation, Vol. 1, pp. 1755-1760, York 1985.
Reference: [6] M. Kárný, K. M. Hangos: One-sided approximation of Bayes rule: theoretical background.Preprints of the 10th IFAC World Congress, Vol. 10, pp. 312-317, Munich 1987.
Reference: [7] M. Kárný, R. Kulhavý: Structure determination of regression-type models for adaptive prediction and control.In: Bayesian Analysis of Time Series and Dynamic Models (J. C. Spall, ed.). Marcel Dekker, New York 1988.
Reference: [8] R. Kulhavý: Restricted exponential forgetting in real-time identification.Automatica 23 (1987), 589-600. MR 0912352
Reference: [9] S. Kullback: Information Theory and Statistics.J. Wiley, New York 1959. Zbl 0088.10406, MR 0103557
Reference: [10] A. Perez: Information, $\epsilon$-sufficiency and data reduction problems.Kybernetika 1 (1965), 297-323. Zbl 0156.40603, MR 0205410
Reference: [11] V. Peterka: Bayesian approach to system identification.In: Trends and Progress in System Identification (P. Eykhoff, ed.), Chap. 8, pp. 239-304. (IFAC Series for Graduates, Research Workers and Practicing Engineers 1.) Pergamon Press, Oxford 1981. MR 0746139
Reference: [12] Y. Yashin: Martingal approach to identification of stochastic systems.Preprints of the 7th IFAC/IFORS Symposium on Identification and System parameter Estimation, Vol. 2, pp. 1755-1760, York 1985.
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