High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
We consider the problem of Ising and Gaussian graphical model selection given n i.i.d. samples from the model. We propose an efficient threshold-based algorithm for structure estimation based known as conditional mutual information test. This simple local algorithm requires only low-order statistics...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Neural Information Processing Systems Foundation
2013
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| Online Access: | http://hdl.handle.net/1721.1/79640 https://orcid.org/0000-0003-0149-5888 |