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Uniform random generation of large acyclic digraphs

Kuipers, Jack ; Moffa, Giusi



Abstract

Directed acyclic graphs are the basic representation of the structure underlying Bayesian networks, which represent multivariate probability distributions. In many practical applications, such as the reverse engineering of gene regulatory networks, not only the estimation of model parameters but the reconstruction of the structure itself is of great interest. As well as for the assessment of ...

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