Using multi-step proposal distribution for improved MCMC convergence in Bayesian network structure learning

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Larjo, Antti; Lähdesmäki, Harri;

Bayesian networks have become popular for modeling probabilistic relationships between entities. As their structure can also be given a causal interpretation about the studied system, they can be used to learn, for example, regulatory relationships of genes or proteins ... View more
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