# Efficient Simulation Smoother

This paper gives the details of a useful algorithm that speeds up the simulation of state vectors from a state space model. The algorithm runs very quick as compared to other methods. I ran the algorithm for a simple local level model inference via Gibbs sampling and found the speed to be considerably faster than other Forward Filter Backward Sampling algorithms. For a more generic Bayesian inference, this algorithm will no doubt cut the computation time significantly.