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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2011-01-01
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Series: | Journal of Probability and Statistics |
Online Access: | http://dx.doi.org/10.1155/2011/152942 |