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Arxiv
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Structure Learning in Gaussian Graphical Models from Glauber Dynamics
- Gaussian graphical model selection is addressed under observations from the Glauber dynamics.
- The Gibbs sampler, a Markov chain, is used to update variables in the model.
- The proposed algorithm for structure learning in Gaussian graphical models under Glauber dynamics is introduced.
- The algorithm shows good computational and statistical performance and is nearly minimax optimal for various problems.
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