[1]Strict than fresh,Yi Jianhua.Bayes method in model selection[J].Journal of Zhengzhou University (Engineering Science),2003,24(02):93-95.[doi:10.3969/j.issn.1671-6833.2003.02.025]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
24卷
Number of periods:
2003年02期
Page number:
93-95
Column:
Public date:
1900-01-01
- Title:
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Bayes method in model selection
- Author(s):
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Strict than fresh; Yi Jianhua
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- Keywords:
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- CLC:
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- DOI:
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10.3969/j.issn.1671-6833.2003.02.025
- Abstract:
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In previous studies on model selection, it is generally assumed that a model is selected, and then the distribution family determined by the model is compared to find the optimal distribution function and numerical characteristics, ignoring the uncertainty of the model itself. The method and application of Bayes method in model selection are introduced, and an example is given to show that using Bayes method to select a model can not only reduce the influence of model uncertainty in model selection, but also extend the model according to the actual situation and the deepening of problem understanding.