Module dbn 

Dynamic Bayesian Networks (DBN) for temporal probabilistic models.

This module provides support for Dynamic Bayesian Networks, which are generalizations of Hidden Markov Models to handle multiple interacting variables over time.

Structure

A DBN consists of:

• Initial (prior) network at t=0
• Two-time-slice transition defining state evolution
• Interface variables connecting adjacent time slices

Structs

CoupledDBN

Coupled DBN with multiple interacting processes.

CouplingFactor

Coupling factor between DBN processes.

DBNBuilder

Builder for creating DBNs with fluent API.

DynamicBayesianNetwork

Dynamic Bayesian Network.

TemporalVar

Temporal variable representing a variable at a specific time step.