Graphical methods for efficient likelihood inference in Gaussian covariance models

9 August 2007

Papers citing "Graphical methods for efficient likelihood inference in Gaussian covariance models"

7 / 7 papers shown

Title
Entropic covariance models Piotr Zwiernik 22 2 0 06 Jun 2023
Stochastic Causal Programming for Bounding Treatment Effects Kirtan Padh Jakob Zeitler David S. Watson Matt J. Kusner Ricardo M. A. Silva Niki Kilbertus CML 28 26 0 22 Feb 2022
Robust Graphical Modeling with t-Distributions Michael Finegold Mathias Drton 23 18 0 09 Aug 2014
On the causal interpretation of acyclic mixed graphs under multivariate normality C. Fox Andreas Kaufl Mathias Drton CML 46 10 0 16 Aug 2013
Maximum likelihood fitting of acyclic directed mixed graphs to binary data R. Evans Thomas S. Richardson 51 25 0 15 Mar 2012
Discrete chain graph models Mathias Drton 116 129 0 04 Sep 2009
A Localization Approach to Improve Iterative Proportional Scaling in Gaussian Graphical Models Hisayuki Hara Akimichi Takemura 65 15 0 19 Feb 2008