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• DAG Learning from Zero-Inflated Count Data Using Continuous Optimization
  2025
• Benchmarking Constraint-Based Bayesian Structure Learning Algorithms: Role of Network Topology
  2025
• Dirichlet Bayesian Network Scores and the Maximum Relative Entropy Principle
  2017
• Bayesian Network Models for Incomplete and Dynamic Data
  2019
• A Constraint-Based Algorithm for the Structural Learning of Continuous-Time Bayesian Networks
  2020
• Using Mixed-Effects Models to Learn Bayesian Networks from Related Data Sets
  2022
• Entropy and the Kullback-Leibler Divergence for Bayesian Networks: Computational Complexity and Efficient Implementation
  2023