Résumé
In this talk, I give a brief and gentle introduction to Sequential Monte Carlo methods (with a particular focus on sequential inference in state-space models), I discuss the potential connections with probabilistic programming (from the perspective of a non-expert), and I also discuss more broadly (and candidly) how probabilistic programming is currently used within the computational statistics community.