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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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A Bayesian hierarchical score for structure learning from related data sets., , and . Int. J. Approx. Reason., (2022)Mixed Finite Elements for Spatial Regression with PDE Penalization., , , and . SIAM/ASA J. Uncertain. Quantification, 2 (1): 305-335 (2014)Nonlinear nonparametric mixed-effects models for unsupervised classification., , and . Comput. Stat., 28 (4): 1549-1570 (2013)Modeling spatially dependent functional data via regression with differential regularization., , , and . J. Multivar. Anal., (2019)Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables., , and . ICDM, page 739-744. IEEE Computer Society, (2017)Structure Learning from Related Data Sets with a Hierarchical Bayesian Score., , and . PGM, volume 138 of Proceedings of Machine Learning Research, page 5-16. PMLR, (2020)Efficient feature selection using shrinkage estimators., , , , , and . Mach. Learn., 108 (8-9): 1261-1286 (2019)Using Mixed-Effect Models to Learn Bayesian Networks from Related Data Sets., , and . CoRR, (2022)Hierarchical estimation of parameters in Bayesian networks., , and . Comput. Stat. Data Anal., (2019)Correction to: Efficient feature selection using shrinkage estimators., , , , , and . Mach. Learn., 109 (8): 1565-1567 (2020)