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...
Main Author: | |
---|---|
Published: |
University of Bristol
2013
|
Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.601010 |