algorithme d'inférences parallèles

CONT: The key to developing a parallel inference algorithm is to exploit or introduce independencies. In the sequential Monte Carlo samplers, this independence can lead to high variance in the resulting estimate. In [other algorithms], the independence is only achieved by introducing approximations.