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- W2950539030 abstract "Gibbs random fields play an important role in statistics. However they are complicated to work with due to an intractability of the likelihood function and there has been much work devoted to finding computational algorithms to allow Bayesian inference to be conducted for such so-called doubly intractable distributions. This paper extends this work and addresses the issue of estimating the evidence and Bayes factor for such models. The approach which we develop is shown to yield good performance." @default.
- W2950539030 created "2019-06-27" @default.
- W2950539030 creator A5080916901 @default.
- W2950539030 date "2013-01-14" @default.
- W2950539030 modified "2023-09-27" @default.
- W2950539030 title "Evidence and Bayes factor estimation for Gibbs random fields" @default.
- W2950539030 cites W1513873506 @default.
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