4 search results - page 1 / 1 » Iterative Conditional Fitting for Gaussian Ancestral Graph M... |
UAI
2004
13 years 5 months ago
2004
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
JMLR
2008
13 years 4 months ago
2008
In graphical modelling, a bi-directed graph encodes marginal independences among random variables that are identified with the vertices of the graph. We show how to transform a bi...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
BIRD
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...