A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence

19 October 2012

Papers citing "A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence"

11 / 11 papers shown

Title
Locally associated graphical models and mixed convex exponential families Steffen Lauritzen Piotr Zwiernik 92 13 0 11 Aug 2020
Estimating linear covariance models with numerical nonlinear algebra Bernd Sturmfels S. Timme Piotr Zwiernik 29 35 0 02 Sep 2019
Bayesian Inference in Cumulative Distribution Fields Ricardo M. A. Silva 57 1 0 09 Nov 2015
Learning from Pairwise Marginal Independencies J. Textor Alexander Idelberger Maciej Liskiewicz CML 88 10 0 02 Aug 2015
Learning Graphical Models With Hubs Kean Ming Tan Palma London Karthika Mohan Su-In Lee Maryam Fazel Daniela Witten 111 100 0 28 Feb 2014
Convolutional Factor Graphs as Probabilistic Models Yongyi Mao F. Kschischang B. Frey 79 20 0 11 Jul 2012
Iterative Conditional Fitting for Gaussian Ancestral Graph Models Mathias Drton Thomas S. Richardson CML 82 47 0 11 Jul 2012
Clique Matrices for Statistical Graph Decomposition and Parameterising Restricted Positive Definite Matrices David Barber 85 11 0 13 Jun 2012
Reading Dependencies from Covariance Graphs J. Peña 138 8 0 21 Oct 2010
Graphical methods for efficient likelihood inference in Gaussian covariance models Mathias Drton Thomas S. Richardson 313 47 0 09 Aug 2007
Binary Models for Marginal Independence Mathias Drton Thomas S. Richardson 168 80 0 25 Jul 2007