Probabilistic Graphical Models

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3 domain-specific abstractions whose origin domain is Probabilistic Graphical Models.

• Dynamic Bayesian network — A Bayesian network template replicated across time slices to represent probabilistic dependencies within and between successive states of a stochastic process.
• Factor graph — A bipartite graph whose variable nodes and factor nodes expose how a multivariate function decomposes into local functions.
• Variable-order Bayesian network — A Bayesian-network model whose parent set for a variable can change according to the realized context of preceding variables.