Theoretical topics

Collaboration diagram for Theoretical topics:

Topics
	multidimensional tables
	Bayesian networks
	Tools for learning
	Causal Model
	Causal graphs and causal inference on top of Bayesian networks: do-calculus criteria (front-door/back-door), causal impact estimation and counterfactual reasoning (module CM, depends on BN).
	k-order Dynamic Bayesian Networks
	Markov random fields
	Influence Diagram
	Influence diagrams extend Bayesian networks with decision nodes and utility nodes, for decision-theoretic planning under uncertainty (module ID, depends on BN).
	Credal Networks
	Factored Markov Decision Process
	Probabilistic Relational Models

Detailed Description