Journal of the Korean Statistical Society

The Korean Statistical Society (한국통계학회)
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On EM Algorithm For Discrete Classification With Bahadur Model: Unknown Prior Case

  • Kim, Hea-Jung (Department of Statistics, Dongguk University, Seoul 100-715) ;
  • Jung, Hun-Jo (Department of Computer Science and Statistics, Hanseo University, Chungnam 352-820)
  • Published : 1994.06.01
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Abstract

For discrimination with binary variables, reformulated full and first order Bahadur model with incomplete observations are presented. This allows prior probabilities associated with multiple population to be estimated for the sample-based classification rule. The EM algorithm is adopted to provided the maximum likelihood estimates of the parameters of interest. Some experiences with the models are evaluated and discussed.

Keywords

References

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