Geodesic
Algorithms for Bayesian estimation of spline model structure
Kybernetika, Tome 28 (1992) no. 5, pp. 413-423

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Classification : 62F15, 93E11, 93E12 
Spousta, Jan. Algorithms for Bayesian estimation of spline model structure. Kybernetika, Tome 28 (1992) no. 5, pp. 413-423. http://geodesic.mathdoc.fr/item/KYB_1992_28_5_a5/
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     url = {http://geodesic.mathdoc.fr/item/KYB_1992_28_5_a5/}
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[1] M. Kárný: Bayesian estimation of model order. Problems Control Inform. Theory 9 (1980), 1, 33-46. | MR

[2] M. Kárný: Algorithms for determining the model structure of a controlled system. Kybernetika 19 (1983), 164-178.

[3] M. Kárný: Quantification of prior knowledge about global characteristic of linear normal model. Kybernetika 20 (1984), 164-178. | MR

[4] M. Kárný I. Nagy J. Böhm, A. Halousková: Design of spline-based self-tuners. Kybernetika 26 (1990), 1, 17-30.

[5] V. Peterka: Bayesian approach to system identification. In: Trends and Progress in System Identi- fication (P. EykhofF, ed.), Pergamon Press, Oxford 1981, pp. 239-304.

[6] J. Spousta: Structure Estimation of Spline-Description of Dynamic Systems (in Czech). Ph.D. Dissertation, Institute of Information Theory and Automation, Czechoslovak Academy of Sciences, Prague 1990.