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  1. Apr 2019
  2. cran.r-project.org cran.r-project.org
    catnet.pdf
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    1. nmparout 04 Apr 2019
      ategorical Bayesian networks are capable of representing non-linearrelationships between random variables and are suitable when the data is genuinely categorical or themarginal distributions follow some multi-modal distributions suitable for discretization

      APPLIED IN OUR CASE OF NON GAUSSIAN DISTRIBUTED DATA

    2. nmparout 04 Apr 2019
      Directed Acyclic Graph (DAG) with nodes representingrandom variables
      WE ASSUME THE WORST CASE FOR OUR PROBLEM : RANDOM VARIABLES IN ORDER TO APPROXIMATE THE PROBLEM FROM ITS WORST CASE #STOCHASTIC OPERATIONAL DEPENDENCIES
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    cran.r-project.org/web/packages/catnet/vignettes/catnet.pdf