Bayesian learning of forest and tree graphical models
Frequentist methods for learning Gaussian graphical model structure are unsuccessful at identifying hubs when n < p. An alternative is Bayesian structure-learning, in which it is common to restrict attention to certain classes of graphs and to explore and approximate the posterior distribution by...
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University of Bristol
2013
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.601010 |