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Bayesian Network Compendium
Preface
Acknowledgments
1
Causation and Inference
1.1
Simpson’s Paradox
2
Graph Theory
2.1
Networks
2.2
Graph Terminology
3
Static Bayesian Networks
3.1
Bayesian Networks Terminology
3.2
Static Bayesian Networks Modelling
3.3
Constraint-Based Structure Learning Algorithms
3.3.1
PC
3.4
Score-Based Structure Learning Algorithms
3.4.1
Continuous, smooth non-convex algorithms
3.5
Hybrid Structure Learning Algorithms
3.6
Structure learning metrics
3.7
Choosing Distributions, Conditional Independence Tests, and Network Scores
3.7.1
Network Scores
3.8
Parameter Learning
3.9
Discretization
4
Structure Learning
References
5
Glosary
Matteo Delucchi
Bayesian Network Compendium
Acknowledgments
Thank you etc..
Matteo Delucchi