Particle Filter

The particle filter exists in many variants, but the fundamental idea is to approximate the Bayes Filter solution by evaluating it on a discrete set of weighted samples.

The particle filter approach is inexact in the sense of being unable to represent arbitrary distributions but makes the Bayes’ equations computationally tractable.

Note there is also a notebook activity that explains this approach in more detail in the state estimation exercise.