Proceedings of the Korean Statistical Society Conference (한국통계학회:학술대회논문집)

The Korean Statistical Society (한국통계학회)
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Conditions For Hyper-EM And Large Graphical Modelling

  • Kim, Seong-Ho (Division of Applied Mathematics, Korea Advanced Institute of Science and Technology) ;
  • Kim, Sung-Ho (Division of Applied Mathematics, Korea Advanced Institute of Science and Technology)
  • Published : 2002.11.01
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Abstract

We propose an improved version of Kim (2000) to the effect that in principle we may deal with a graphical model of any size. Kim (2000) proposed a method of estimating parameters for a model of categorical variables which is too large to handle as a single model. We applied the proposed method to a simulated data of 158 binary variables.

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