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4:15 pm

CFTP: the algorithm ERGM deserves, but not the one it needs right now (Matt Moores, University of Wollongong)

November 5 @ 4:15 pm - 5:15 pm
Emmy Noether Room, Millikan 1021, Pomona College, 610 N. College Ave.
Claremont, California 91711
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The exchange algorithm enables Bayesian posterior inference for models with intractable likelihoods, such as Ising, Potts, or exponential random graph models (ERGM). Crucially, this algorithm relies on an auxiliary Markov chain to obtain an unbiased sample from the generative distribution of the model.             It was originally proposed to use coupling from the past (CFTP) for […]

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