Cybernetics and Systems Analysis

, Volume 49, Issue 1, pp 36–40 | Cite as

Properties of separation procedures for discrete objects in Bayesian network models

  • A. M. Gupala
  • N. A. Gupala


It is shown that for discrete objects constructed on bounded samples there are examples that support the faithfulness assumption and examples for which it fails. Thus, the properties of separation procedures for continuous models do not hold for discrete objects.


separation Bayesian network Markov condition discrete object 


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.V. M. Glushkov Institute of CyberneticsNational Academy of Sciences of UkraineKyivUkraine

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