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SaverioMonaco / k2Algorithm

Implementation in BNSTRUCT of the K2 Algorithm for learning the topology of a Bayesian Network. Project of Advanced Statistics 2020-2021

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rbayesian-inferencebayesian-network

Learning the topology of a Bayesian Network from a database of cases using the K2 algorithm

Final project of “Advanced Statistics for Physics Analysis”

Javier Gerardo Carmona

Saverio Monaco

References:

  • G. F. Cooper and E. Herskovits,A Bayesian Method for the Induction of Probabilistic Networks fromData, Machine Learning9, (1992) 309
  • C. Ruiz, Illustration of the K2 Algorithm for learning Bayes Net Structures, http://web.cs.wpi.edu/~cs539/s11/Projects/k2_algorithm.pdf
  • F. Sambo and A. Franzin,bnstruct: an R package for Bayesian Network Structure Learning withmissing data, December 12, 2016

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Implementation in BNSTRUCT of the K2 Algorithm for learning the topology of a Bayesian Network. Project of Advanced Statistics 2020-2021

rbayesian-inferencebayesian-network

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