References in zbMATH (referenced in 16 articles , 1 standard article )

Showing results 1 to 16 of 16.
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  1. Butz, Cory J.; dos Santos, André E.; Oliveira, Jhonatan S.; Gonzales, Christophe: An empirical study of testing independencies in Bayesian networks using rp-separation (2018)
  2. Nowzohour, Christopher; Maathuis, Marloes H.; Evans, Robin J.; Bühlmann, Peter: Distributional equivalence and structure learning for bow-free acyclic path diagrams (2017)
  3. Santtu Tikka and Juha Karvanen: Identifying Causal Effects with the R Package causaleffect (2017)
  4. Colombo, Diego; Maathuis, Marloes H.: Order-independent constraint-based causal structure learning (2014)
  5. Roberto Colombi; Sabrina Giordano; Manuela Cazzaro: hmmm: An R Package for Hierarchical Multinomial Marginal Models (2014)
  6. Wermuth, Nanny; Sadeghi, Kayvan: Rejoinder on: Sequences of regressions and their independences (2012)
  7. Wollschläger, Daniel: Foundations of data analysis with R. An application oriented introduction. (2010)
  8. Maathuis, Marloes H.; Kalisch, Markus; Bühlmann, Peter: Estimating high-dimensional intervention effects from observational data (2009)
  9. Marchetti, Giovanni M.; Wermuth, Nanny: Matrix representations and independencies in directed acyclic graphs (2009)
  10. Rütimann, Philipp; Bühlmann, Peter: High dimensional sparse covariance estimation via directed acyclic graphs (2009)
  11. Wermuth, Nanny; Cox, D. R.: Distortion of effects caused by indirect confounding (2008)
  12. Søren Højsgaard; Steffen Lauritzen: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries with the gRc Package for R (2007)
  13. Giovanni Marchetti: Independencies Induced from a Graphical Markov Model After Marginalization and Conditioning: The R Package ggm (2006)
  14. Wermuth, Nanny; Cox, D. R.; Marchetti, Giovanni M.: Covariance chains (2006)
  15. Wermuth, N.; Wiedenbeck, M.; Cox, D. R.: Partial inversion for linear systems and partial closure of independence graphs (2006)
  16. Claus Dethlefsen; Søren Højsgaard: A Common Platform for Graphical Models in R: The gRbase Package (2005)