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Found 2 papers, 1 papers with code
Bayesian structure learning and sampling of Bayesian networks with the R package BiDAG
The package includes tools to search for a maximum a posteriori (MAP) graph and to sample graphs from the posterior distribution given the data.
Efficient Sampling and Structure Learning of Bayesian Networks
Bayesian networks are probabilistic graphical models widely employed to understand dependencies in high dimensional data, and even to facilitate causal discovery.
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