Sampling decomposable graphs using a Markov chain on junction trees

Full Bayesian computational inference for model determination in undirected graphical models is currently restricted to decomposable graphs or other special cases, except for small-scale problems, say up to 15 variables. In this paper we develop new, more efficient methodology for such inference, by...

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Veröffentlicht in:	Biometrika 2013-03, Vol.100 (1), p.91-110
Hauptverfasser:	GREEN, PETER J., THOMAS, ALUN
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Geometry Graph theory Graphs Markov analysis Monte Carlo simulation Studies
Online-Zugang:	Volltext
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