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Reasoning on likelihood ratios

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Abstract

In this paper, the methods based on likelihood ratio are proposed for uncertainty reasoning. The elementary concepts and formulas are derived systematically, especially for the situations with dependent information and for the different orders of information.

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References

  1. Weichselbeger. K. and Pöhlmann. S., A Methodology for Uncertainty in Knowledge-based Systems, Lecture Notes in Computer Science, 419, Springer-Verlag, Berlin, 1990.

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  2. Zhang Yaoting and Du Jingsong, Bayesian analysis, likelihood ratio and information, Appl. Math.-JCU, 9B(1994), 105-108.

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  3. Zhang Yaoting, Zhang Nengsheng and Du Jingsong, Methodology for Uncertainty Reasoning, Guangxi Normal University Press, Guilin. 1994. (Chinese)

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  4. Zhang Yaoting and Du Jingsong, Mathematical Statistics for AI, Academic Press, Beijing, (in Chinese, to be appeared in 1997)

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Authors and Affiliations

  1. Institute of Economics, Shanghai University of Finance and Economics, 200433, Shanghai

    Zhang Yaoting & Du Jingsong

  2. Bank of China, Beijing

    Zhang Yaoting & Du Jingsong

Authors
  1. Zhang Yaoting
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  2. Du Jingsong
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Supported by the Key Project of Fundamental, Climbing Project.

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Cite this article

Yaoting, Z., Jingsong, D. Reasoning on likelihood ratios. Appl. Math. Chin. Univ. 12, 25–32 (1997). https://doi.org/10.1007/s11766-997-0003-1

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  • DOI: https://doi.org/10.1007/s11766-997-0003-1

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