Learning Graphical Models From the Glauber Dynamics

Learning Graphical Models From the Glauber Dynamics

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In this paper, we consider the problem of learning undirected graphical models from data generated according to the Glauber dynamics (also known as the Gibbs sampler). The Glauber dynamics is a Markov chain that sequentially updates individual nodes (variables) in a graphical model and it is frequen...

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Bibliographic Details
Main Authors: Bresler, Guy, Gamarnik, David, Shah, Devavrat
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Published: Institute of Electrical and Electronics Engineers (IEEE) 2019
Online Access:http://hdl.handle.net/1721.1/120526
https://orcid.org/0000-0003-1303-582X
https://orcid.org/0000-0001-8898-8778
https://orcid.org/0000-0003-0737-3259
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