Journal of System Simulation
Abstract
Abstract: Considering the lack of sound evaluation method for Bayesian estimator design, an approach employing consistency as the core criterion was proposed. By studying the unbiasedness and whiteness of innovation sequence yielded during observation update routine, the normalized innovations square (NIS) was constructed, and then the chi-square test being able to detect the Posterior's consistency was carried out on NIS. Experiments demonstrate that the proposed algorithm can identify the inappropriate parameter configuration for both linear and nonlinear systems, therefore the performance of the estimators can be evaluated.
Recommended Citation
Sun, Zuolei; Ying, Li; Bo, Zhang; and Wen, Zhang
(2020)
"Performance Evaluation of Bayesian Estimator with Consistency Validation,"
Journal of System Simulation: Vol. 28:
Iss.
3, Article 9.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol28/iss3/9
First Page
569
Revised Date
2015-05-14
DOI Link
https://doi.org/
Last Page
576
CLC
TP13
Recommended Citation
Sun Zuolei, Li Ying, Zhang Bo, Zhang Wen. Performance Evaluation of Bayesian Estimator with Consistency Validation[J]. Journal of System Simulation, 2016, 28(3): 569-576.
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