How do the structure and the parameters of Gaussian tree models affect structure learning?

The problem of learning tree-structured Gaussian graphical models from i.i.d. samples is considered. The influence of the tree structure and the parameters of the Gaussian distribution on the learning rate as the number of samples increases is discussed. Specifically, the error exponent correspondin...

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Bibliographic Details
Main Authors: Tan, Vincent Yan Fu (Contributor), Anandkumar, Animashree (Contributor), Willsky, Alan S. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor), Massachusetts Institute of Technology. Stochastic Systems Group (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2011-04-19T19:26:48Z.
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