Enhanced SMC${}^2$: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals

Conor Rosato, Joshua Murphy, Alessandro Varsi +2

Sequential Monte Carlo Squared (SMC${}^2$) is a Bayesian method which can infer the states and parameters of non-linear, non-Gaussian state-space models. The standard random-walk pro…