Title:
|
Recursive Bayesian estimation under memory limitation (English) |
Author:
|
Kulhavý, Rudolf |
Language:
|
English |
Journal:
|
Kybernetika |
ISSN:
|
0023-5954 |
Volume:
|
26 |
Issue:
|
1 |
Year:
|
1990 |
Pages:
|
1-16 |
. |
Category:
|
math |
. |
MSC:
|
62B10 |
MSC:
|
62E17 |
MSC:
|
62F15 |
MSC:
|
93E10 |
MSC:
|
93E25 |
idZBL:
|
Zbl 0721.62031 |
idMR:
|
MR1042229 |
. |
Date available:
|
2009-09-24T18:16:55Z |
Last updated:
|
2012-06-05 |
Stable URL:
|
http://hdl.handle.net/10338.dmlcz/124217 |
. |
Reference:
|
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Reference:
|
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Reference:
|
[3] H. W. Sorenson, A. R. Stubberud: Non-linear filtering by approximation of the a poste- riori density.Internat. J. Control 8 (1968), 33-51. |
Reference:
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Reference:
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[7] D. L. Alspach: Gaussian sum approximations in nonlinear filtering and control.In: Esti- mation Theory (D. G. Lainiotis, ed.), American Elsevier, New York 1974. Zbl 0291.93053, MR 0368877 |
Reference:
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[8] J. L. Center: Practical nonlinear filtering of discrete observations by generalized least- squares approximation of the conditional probability distribution.In: Proc. of 2nd Symp. on Nonlinear Estimation, San Diego 1971. |
Reference:
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[9] R. J. P. de Figueiredo, J. G. Jan: Spline filters.In: Proc. of 2nd Symp. on Nonlinear Estimation, San Diego 1971. |
Reference:
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[10] D. G. Lainiotis, J. G. Deshpande: Parameter estimation using splines.In: Estimation Theory (D. G. Lainiotis, ed.), American Elsevier, New York 1974. Zbl 0309.62072, MR 0366480 |
Reference:
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[11] H. W. Sorenson: On the development of practical nonlinear filters.In: Estimation Theory (D. G. Lainiotis, ed.), American Elsevier, New York 1974. Zbl 0291.93052, MR 0363605 |
Reference:
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[12] A. H. Wang, R. L. Klein: Implementation of nonlinear estimators using monospline.In: Proc. of 13th IEEE Conf. on Decision and Control, 1976. |
Reference:
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[13] D. V. Lindley: Approximate Bayesian methods.In: Bayesian Statistics (J. M. Bernardo. M. H. DeGroot, D. V, Lindley and A. F. M. Smith, eds.), University Press, Valencia 1980. Zbl 0458.62002, MR 0638879 |
Reference:
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[14] O. L. R. Jacobs: Recursive estimation for non-linear Wiener systems by on-line implementation of Bayes' rule.Trans. Inst. M. C. 7 (1985), 245-250. |
Reference:
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[15] M. Karny, K. M. Hangos: Approximation of the Bayes rule.In: Proc. of 7th IFAC/ IFORS Symp. on Identification and System Parameter Estimation, York 1985. |
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[16] A. R. Stubberud, G. H. Xia: A fixed complexity nonlinear estimation technique.In: Proc. of 25th Conf. on Decision and Control, Athens 1986. |
Reference:
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[17] M. Karny, K. M. Hangos: One-sided approximation of Bayes rule: theoretical background.In: Proc. of 10th IFAC Congress, Munich 19S7. |
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[18] S. C. Kramer, H. W. Sorenson: Bayesian parameter estimation.In: Proc. of 1987 Amer. Control. Conf., Minneapolis 1987. |
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[19] J. M. Bernardo: Approximations in statistics from a decision theoretical viewpoint.In: Probability and Bayesian Statistics (R. Viertl, ed.), Plenum Press, New York 1987. MR 0925441 |
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[20] B. de Finetti: Theory of Probability: A Critical Introductory Treatment.Wiley, New York 1970 (Vol. 1), Chichester 1972 (Vol. 2). |
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[21] I. J. Good: The Estimation of Probabilities: An Essay on Modern Bayesian Methods.MIT Press, Cambridge 1965. Zbl 0168.39603, MR 0185724 |
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[22] I. J. Good: Some history of the hierarchical Bayesian methodology.In: Bayesian Statistics (J. M. Bernardo, M. H. DeGroot, D. V. Lindley and A. F. M. Smith, eds.), University Press, Valencia 1980. Zbl 0467.62002, MR 0638884 |
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