Approximate Counting of Graphical Models via MCMC Revisited-Reference-Cited by-同舟云学术

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Approximate Counting of Graphical Models via MCMC Revisited

Published:2014-12-24 Issue:3 Volume:30 Page:384-420
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int. J. Intell. Syst.

Author:

Sonntag Dag¹,Peña Jose M.¹,Gómez-Olmedo Manuel²

Affiliation:

1. ADIT, IDA; Linköping University; 581 83 Linköping Sweden

2. Department of Computer Science and Artificial Intelligence; University of Granada; E-18071 Granada Spain

Funder

Swedish Research Council Formas

Center for Industrial Information Technology

European fund for regional development (FEDER)

Spanish Goverment (MICINN)

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/int.21704/fullpdf

Reference24 articles.

1. A characterization of Markov equivalence classes for acyclic digraphs;Andersson;Ann Stats,1997

2. Robinson RW Counting unlabeled acyclic digraphs Proc Fifth Australian Conf on Combinatorial Mathematics 1977 28 43

3. The size distribution for Markov equivalence classes of acyclic digraph models;Gillispie;Artif Intelligence,2002

4. Peña JM Approximate counting of graphical models via MCMC Proc 11th Int Conf on Artificial Intelligence and Statistics 2007 352 359

5. Enumeration of labelled chain graphs and labelled essential directed acyclic graphs;Steinsky;Discrete Math,2003

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