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Title: Sampling from weighted network models when aggregate information is available Authors:  Axel Gandy - Imperial College London (United Kingdom) [presenting]
Abstract: Many networks have weights attached to their edges, such as the number of liabilities in a financial network. One might be interested in sampling from such weighted networks given information about the aggregate amount of in-/out weights of the nodes. This could be because only such partial information about the network is available or because a conditional statistical test should be performed. We discuss several of these settings and present algorithms that can be used to sample from appropriate conditional distributions.