A bayesian network to analyse basketball players’ performances: a multivariate copula-based approach

HIGHLIGHTS

• who: Pierpalo Du2019Urso from the Department of Social Sciences and Economics, Sapienza University of Rome, Pza Aldo Moro, Rome, Italy have published the research work: A Bayesian network to analyse basketball playersu2019 performances: a multivariate copula-based approach, in the Journal: (JOURNAL)
• what: The authors focus on basketball, a sports pioneer in using analytic tools, and data from the National Basketball Association (NBA). With the same aim of enlarging the analysis by considering a multivariate approach, the authors propose the use of Bayesian networks (BNs) (Pearl, 1988), i.e. probabilistic expert systems able to identify . . .
  

   

  

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