Approximate computations for binary Markov random fields and their use in Bayesian models

Author:

Austad Haakon Michael,Tjelmeland Håkon

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science

Reference34 articles.

1. Austad, H.M.: Approximations of binary Markov random fields. PhD thesis, Norwegian University of Science and Technology. Thesis number 292:2011. Available from http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-14922 (2011)

2. Besag, J.: Spatial interaction and the statistical analysis of lattice systems. J. R. Stat. Soc. Ser. B 36, 192–225 (1974)

3. Besag, J.: On the statistical analysis of dirty pictures (with discussion). J. R. Stat. Soc. Ser. B 48, 259–302 (1986)

4. Clifford, P.: Markov random fields in statistics. In: Grimmett, G.R., Welsh, D.J.A. (eds.) Disorder in Physical Systems, pp. 19–31. Oxford University Press (1990)

5. Cowell, R.G., Dawid, A.P., Lauritzen, S.L., Spiegelhalter, D.J.: Probabilistic Networks and Expert Systems, Exact Computational Methods for Bayesian Networks. Springer, London (2007)

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