This paper deals with the task of parameter identification using the Bayes estimation method, which makes it possible to take into account the differing consequences of positive and negative estimation errors. The calculation procedures are based on the kernel estimators technique. The final result constitutes a complete algorithm usable for obtaining the value of the Bayes estimator on the basis of an experimentally obtained random sample. An elaborated method is provided for numerical computations.
An Algorithm for Bayes Parameter Identification
Contributed by the Dynamic Systems and Control Division for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received by the Dynamic Systems and Control Division December 6, 1999. Associate Editor: S. Fassois.
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Kulczycki, P. (December 6, 1999). "An Algorithm for Bayes Parameter Identification ." ASME. J. Dyn. Sys., Meas., Control. December 2001; 123(4): 611–614. https://doi.org/10.1115/1.1409552
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