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NATbox: a network analysis toolbox in R., , , and . BMC Bioinform., 10 (S-11): 14 (2009)A Bayesian hierarchical score for structure learning from related data sets., , and . Int. J. Approx. Reason., (2022)A constraint-based algorithm for the structural learning of continuous-time Bayesian networks., , and . Int. J. Approx. Reason., (2021)Hard and Soft EM in Bayesian Network Learning from Incomplete Data., , , and . Algorithms, 13 (12): 329 (2020)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)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)Learning Bayesian networks with heterogeneous agronomic data sets via mixed-effect models and hierarchical clustering., , and . Eng. Appl. Artif. Intell., (2024)Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package.. CoRR, (2014)Comments on: "Hybrid Semiparametric Bayesian Networks".. CoRR, (2022)Who learns better Bayesian network structures: Accuracy and speed of structure learning algorithms., , and . Int. J. Approx. Reason., (2019)