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Bayesian exponential random graph models for populations of networks

By Brieuc Lehmann and Simon White
The collection of data on populations of networks is becoming increasingly common, where each data point can be seen as a realisation of a network-valued random variable. A canonical example is that of brain networks: a typical neuroimaging study collects one or more brain scans across multiple individuals, each of... Show more
April 11, 2021
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Bayesian exponential random graph models for populations of networks
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