A conditional mutual information estimator for mixed data and an associated conditional independence test

HIGHLIGHTS

• who: Lei Zan and collaborators from the Department of Mathematics, Information and Communication Sciences, Universitu00e9 Grenoble Alpes, CNRS, Grenoble INP, LIG, Grenoble, France have published the research: A Conditional Mutual Information Estimator for Mixed Data and an Associated Conditional Independence Test, in the Journal: Entropy 2022, 24, 1234. of /2022/
• what: The authors focus on mixed data which are either observations of univariate random variables which can be quantitative or qualitative or observations of multivariate random variables such that each variable can include both quantitative and qualitative components. The authors focus in this work on . . .
  

   

  

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