2 citations · 4 across the 7 of their papers we have counts for
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stat.CO2024
Exact discovery is polynomial for certain sparse causal Bayesian networks
Felix L. Rios, Giusi Moffa, Jack Kuipers
Causal Bayesian networks are widely used tools for summarising the dependencies between variables and elucidating their putative causal relationships. By restricting the search to…
stat.CO2021
Bayesian structure learning and sampling of Bayesian networks with the R package BiDAG
Polina Suter, Jack Kuipers, Giusi Moffa +1
The R package BiDAG implements Markov chain Monte Carlo (MCMC) methods for structure learning and sampling of Bayesian networks. The package includes tools to search for a maximum…