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Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, no. SP4.0 (2012): 940-960

Cited: 75|Views22
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Abstract

Undirected graphical models are widely used in statistics, physics, and, machine vision. However, Bayesian parameter estimation for undirected models is extremely challenging, since evaluation of the posterior typically involves the calculation of an intractable normalizing constant. This problem has received much attention, but very litt...More

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