Statistics Seminars: Bayesian inference for the exponential random graph model
15 February 2010 14:15 in CM221
The exponential random graph is widely used in the statistical analysis of network data. It is a Markov random field model, and suffers from the problem that the likelihood is unavailable for all but trivially small networks. This talk will present two approaches, one simulation base, the other deterministic, which aim to overcome this difficulty.
Host: Jochen Einbeck
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