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- W1978990433 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 article extends this work and addresses the issue of estimating the evidence and Bayes factor for such models. The approach that we develop is shown to yield good performance. Supplementary materials for this article are available online." @default.
- W1978990433 created "2016-06-24" @default.
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- W1978990433 date "2013-07-01" @default.
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- W1978990433 title "Evidence and Bayes Factor Estimation for Gibbs Random Fields" @default.
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- W1978990433 doi "https://doi.org/10.1080/10618600.2013.778780" @default.
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