The aim of this project is to study and benchmark the performance of the "Optimal Particle Filter" introduced by Fanaso and al. in 2021, with the well-known Bootstrap Filter algorithm.

Let's explore a Bayesian framework enhanced by Monte Carlo simulation methods and hidden Markov chains for time series clustering.