Divide-and-Conquer with Sequential Monte Carlo

Fredrik Lindsten, Adam M. Johansen, Christian A. Naesseth +4

We propose a novel class of Sequential Monte Carlo (SMC) algorithms, appropriate for inference in probabilistic graphical models. This class of algorithms adopts a divide-and-conqu…