References in zbMATH (referenced in 18 articles , 2 standard articles )

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

  1. Anastasiou, Andreas: Assessing the multivariate normal approximation of the maximum likelihood estimator from high-dimensional, heterogeneous data (2018)
  2. Michałek, Mateusz; Sturmfels, Bernd; Uhler, Caroline; Zwiernik, Piotr: Exponential varieties (2016)
  3. Vinciotti, Veronica; Augugliaro, Luigi; Abbruzzo, Antonino; Wit, Ernst C.: Model selection for factorial Gaussian graphical models with an application to dynamic regulatory networks (2016)
  4. Forbes, Peter G. M.; Lauritzen, Steffen: Linear estimating equations for exponential families with application to Gaussian linear concentration models (2015)
  5. Roverato, Alberto: Log-mean linear parameterization for discrete graphical models of marginal independence and the analysis of dichotomizations (2015)
  6. Ha, Min Jin; Sun, Wei: Partial correlation matrix estimation using ridge penalty followed by thresholding and re-estimation (2014)
  7. Gehrmann, Helene; Lauritzen, Steffen L.: Estimation of means in graphical Gaussian models with symmetries (2012)
  8. Kiiveri, Harri; de Hoog, Frank: Fitting very large sparse Gaussian graphical models (2012)
  9. Markus Kalisch; Martin Mächler; Diego Colombo; Marloes Maathuis; Peter Bühlmann: Causal Inference Using Graphical Models with the R Package pcalg (2012) not zbMATH
  10. Shah, Parikshit; Chandrasekaran, Venkat: Group symmetry and covariance regularization (2012)
  11. Uhler, Caroline: Geometry of maximum likelihood estimation in Gaussian graphical models (2012)
  12. Gehrmann, Helene: Lattices of graphical Gaussian models with symmetries (2011)
  13. Gottard, Anna; Marchetti, Giovanni Maria; Agresti, Alan: Quasi-symmetric graphical log-linear models (2011)
  14. Sturmfels, Bernd; Uhler, Caroline: Multivariate Gaussians, semidefinite matrix completion, and convex algebraic geometry (2010)
  15. Marco Scutari: Learning Bayesian Networks with the bnlearn R Package (2009) arXiv
  16. Drton, Mathias; Richardson, Thomas S.: Binary models for marginal independence (2008)
  17. Høsgaard, Søren: Graphical models for sparse data: graphical Gaussian models with vertex and edge symmetries (2008)
  18. Søren Højsgaard; Steffen Lauritzen: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries with the gRc Package for R (2007) not zbMATH