Learning graphical models from the Glauber dynamics
In this paper we consider the problem of learning undirected graphical models from data generated according to the Glauber dynamics. The Glauber dynamics is a Markov chain that sequentially updates individual nodes (variables) in a graphical model and it is frequently used to sample from the station...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2015
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| Online Access: | http://hdl.handle.net/1721.1/98837 https://orcid.org/0000-0001-8898-8778 https://orcid.org/0000-0003-0737-3259 https://orcid.org/0000-0003-1303-582X |