References in zbMATH (referenced in 18 articles , 1 standard article )

Showing results 1 to 18 of 18.
Sorted by year (citations)

  1. Scutari, Marco; Denis, Jean-Baptiste: Bayesian networks. With examples in R (2022)
  2. Mads Lindskou, Søren Højsgaard, Poul Svante Eriksen, Torben Tvedebrink: sparta: Sparse Tables and their Algebra for use in High Dimensional Bayesian Networks (2021) arXiv
  3. Manuele Leonelli, Ramsiya Ramanathan, Rachel Wilkerson: Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package (2021) arXiv
  4. Winn, Emily T.; Vazquez, Marilyn; Loliencar, Prachi; Taipale, Kaisa; Wang, Xu; Heo, Giseon: A survey of statistical learning techniques as applied to inexpensive pediatric obstructive sleep apnea data (2021)
  5. Gherardo Varando, Federico Carli, Manuele Leonelli, Eva Riccomagno: The R Package stagedtrees for Structural Learning of Stratified Staged Trees (2020) arXiv
  6. Han Yu; Janhavi Moharil; Rachael Hageman Blair: BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks (2020) not zbMATH
  7. Claveau, François; Grenier, Olivier: The variety-of-evidence thesis: a Bayesian exploration of its surprising failures (2019)
  8. Gilles Kratzer, Fraser Iain Lewis, Arianna Comin, Marta Pittavino, Reinhard Furrer: Additive Bayesian Network Modelling with the R Package abn (2019) arXiv
  9. Katrine Kirkeby; Maria Knudsen; Ninna Vihrs: tcherry: Learning the structure of tcherry trees (2019) not zbMATH
  10. Perez-de-la-Cruz, Gonzalo; Eslava-Gomez, Guillermina: Discriminant analysis for discrete variables derived from a tree-structured graphical model (2019)
  11. Bojan Mihaljević, Concha Bielza, Pedro Larrañaga: bnclassify: Learning Bayesian Network Classifiers (2018) not zbMATH
  12. Bryon Aragam, Jiaying Gu, Qing Zhou: Learning Large-Scale Bayesian Networks with the sparsebn Package (2017) arXiv
  13. Cugnata, F.; Perucca, G.; Salini, S.: Bayesian networks and the assessment of universities’ value added (2017)
  14. Scutari, Marco; Denis, Jean-Baptiste: Bayesian networks. With examples in R (2015)
  15. Nagarajan, Radhakrishnan; Scutari, Marco; Lèbre, Sophie: Bayesian networks in R. With applications in systems biology (2013)
  16. Markus Kalisch; Martin Mächler; Diego Colombo; Marloes Maathuis; Peter Bühlmann: Causal Inference Using Graphical Models with the R Package pcalg (2012) not zbMATH
  17. Søren Højsgaard: Graphical Independence Networks with the gRain Package for R (2012) not zbMATH
  18. Marco Scutari: Learning Bayesian Networks with the bnlearn R Package (2009) arXiv