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Properties of separation procedures for discrete objects in Bayesian network models

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Abstract

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.

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Authors and Affiliations

  1. V. M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine

    A. M. Gupala & N. A. Gupala

Authors
  1. A. M. Gupala
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  2. N. A. Gupala
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Correspondence to A. M. Gupala.

Additional information

Translated from Kibernetika i Sistemnyi Analiz, No. 1, January–February, 2013, pp. 43–48.

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Gupala, A.M., Gupala, N.A. Properties of separation procedures for discrete objects in Bayesian network models. Cybern Syst Anal 49, 36–40 (2013). https://doi.org/10.1007/s10559-013-9482-7

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  • DOI: https://doi.org/10.1007/s10559-013-9482-7

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