References in zbMATH (referenced in 21 articles , 2 standard articles )

Showing results 1 to 20 of 21.
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  1. Ishi, Hideyuki; Kołodziejek, Bartosz: Characterization of the Riesz exponential family on homogeneous cones (2019)
  2. Anastasiou, Andreas: Assessing the multivariate normal approximation of the maximum likelihood estimator from high-dimensional, heterogeneous data (2018)
  3. Massam, H.; Li, Q.; Gao, X.: Bayesian precision and covariance matrix estimation for graphical Gaussian models with edge and vertex symmetries (2018)
  4. Michałek, Mateusz; Sturmfels, Bernd; Uhler, Caroline; Zwiernik, Piotr: Exponential varieties (2016)
  5. Vinciotti, Veronica; Augugliaro, Luigi; Abbruzzo, Antonino; Wit, Ernst C.: Model selection for factorial Gaussian graphical models with an application to dynamic regulatory networks (2016)
  6. Forbes, Peter G. M.; Lauritzen, Steffen: Linear estimating equations for exponential families with application to Gaussian linear concentration models (2015)
  7. Roverato, Alberto: Log-mean linear parameterization for discrete graphical models of marginal independence and the analysis of dichotomizations (2015)
  8. Ha, Min Jin; Sun, Wei: Partial correlation matrix estimation using ridge penalty followed by thresholding and re-estimation (2014)
  9. Gehrmann, Helene; Lauritzen, Steffen L.: Estimation of means in graphical Gaussian models with symmetries (2012)
  10. Kiiveri, Harri; de Hoog, Frank: Fitting very large sparse Gaussian graphical models (2012)
  11. Markus Kalisch; Martin Mächler; Diego Colombo; Marloes Maathuis; Peter Bühlmann: Causal Inference Using Graphical Models with the R Package pcalg (2012) not zbMATH
  12. Shah, Parikshit; Chandrasekaran, Venkat: Group symmetry and covariance regularization (2012)
  13. Uhler, Caroline: Geometry of maximum likelihood estimation in Gaussian graphical models (2012)
  14. Gehrmann, Helene: Lattices of graphical Gaussian models with symmetries (2011)
  15. Gottard, Anna; Marchetti, Giovanni Maria; Agresti, Alan: Quasi-symmetric graphical log-linear models (2011)
  16. Sturmfels, Bernd; Uhler, Caroline: Multivariate Gaussians, semidefinite matrix completion, and convex algebraic geometry (2010)
  17. Marco Scutari: Learning Bayesian Networks with the bnlearn R Package (2009) arXiv
  18. Drton, Mathias; Richardson, Thomas S.: Binary models for marginal independence (2008)
  19. Højsgaard, Søren; Lauritzen, Steffen L.: Graphical Gaussian models with edge and vertex symmetries (2008)
  20. Høsgaard, Søren: Graphical models for sparse data: graphical Gaussian models with vertex and edge symmetries (2008)

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