References in zbMATH (referenced in 12 articles , 1 standard article )

Showing results 1 to 12 of 12.
Sorted by year (citations)

  1. Gherardo Varando, Federico Carli, Manuele Leonelli, Eva Riccomagno: The R Package stagedtrees for Structural Learning of Stratified Staged Trees (2020) arXiv
  2. Han Yu; Janhavi Moharil; Rachael Hageman Blair: BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks (2020) not zbMATH
  3. Gilles Kratzer, Fraser Iain Lewis, Arianna Comin, Marta Pittavino, Reinhard Furrer: Additive Bayesian Network Modelling with the R Package abn (2019) arXiv
  4. Katrine Kirkeby; Maria Knudsen; Ninna Vihrs: tcherry: Learning the structure of tcherry trees (2019) not zbMATH
  5. Perez-de-la-Cruz, Gonzalo; Eslava-Gomez, Guillermina: Discriminant analysis for discrete variables derived from a tree-structured graphical model (2019)
  6. Bojan Mihaljević, Concha Bielza, Pedro Larrañaga: bnclassify: Learning Bayesian Network Classifiers (2018) not zbMATH
  7. Bryon Aragam, Jiaying Gu, Qing Zhou: Learning Large-Scale Bayesian Networks with the sparsebn Package (2017) arXiv
  8. Scutari, Marco; Denis, Jean-Baptiste: Bayesian networks. With examples in R (2015)
  9. Nagarajan, Radhakrishnan; Scutari, Marco; Lèbre, Sophie: Bayesian networks in R. With applications in systems biology (2013)
  10. Markus Kalisch; Martin Mächler; Diego Colombo; Marloes Maathuis; Peter Bühlmann: Causal Inference Using Graphical Models with the R Package pcalg (2012) not zbMATH
  11. Søren Højsgaard: Graphical Independence Networks with the gRain Package for R (2012) not zbMATH
  12. Marco Scutari: Learning Bayesian Networks with the bnlearn R Package (2009) arXiv