Gaussian Covariance Faithful Markov Trees

Graphical models are useful for characterizing conditional and marginal independence structures in high-dimensional distributions. An important class of graphical models is covariance graph models, where the nodes of a graph represent different components of a random vector, and the absence of an ed...

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Bibliographic Details
Main Authors: Dhafer Malouche, Bala Rajaratnam
Format: Article
Language:English
Published: Wiley 2011-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2011/152942
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