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Using Mixed-Effects Models to Learn Bayesian Networks from Related Data Sets.

, , and . PGM, volume 186 of Proceedings of Machine Learning Research, page 73-84. PMLR, (2022)

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NATbox: a network analysis toolbox in R., , , and . BMC Bioinform., 10 (S-11): 14 (2009)A constraint-based algorithm for the structural learning of continuous-time Bayesian networks., , and . Int. J. Approx. Reason., (2021)A Bayesian hierarchical score for structure learning from related data sets., , and . Int. J. Approx. Reason., (2022)Hard and Soft EM in Bayesian Network Learning from Incomplete Data., , , and . Algorithms, 13 (12): 329 (2020)Analyzing Complex Systems with Cascades Using Continuous-Time Bayesian Networks., , , , and . TIME, volume 278 of LIPIcs, page 8:1-8:21. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)Towards a Transportable Causal Network Model Based on Observational Healthcare Data., , , , and . HC@AIxIA, volume 3578 of CEUR Workshop Proceedings, page 67-82. CEUR-WS.org, (2023)Who learns better Bayesian network structures: Accuracy and speed of structure learning algorithms., , and . Int. J. Approx. Reason., (2019)Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package.. CoRR, (2014)Bayesian Network Structure Learning with Permutation Tests, and . Communications in Statistics - Theory and Methods, 41 (16-17): 3233-3243 (August 2012)Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data., and . PGM, volume 138 of Proceedings of Machine Learning Research, page 29-40. PMLR, (2020)