Exact and Approximate Inference in Dynamic Bayesian Networks

The following algorithms are for performing exact and approximate inference in a dynamic Bayesian network. In particular, these algorithms are for filtering, prediction, and smoothing.

• The Forward Algorithm (filtering)
• The Forward Backward Algorithm (smoothing)
• Particle Filtering