Uniform random generation of large acyclic digraphs

@article{Kuipers2015UniformRG,
  title={Uniform random generation of large acyclic digraphs},
  author={Jack Kuipers and Giusi Moffa},
  journal={Statistics and Computing},
  year={2015},
  volume={25},
  pages={227-242}
}
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 different structure learning algorithms in simulation studies, a uniform sample from the space of… 
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