Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo

Minas Karamanis, Uroš Seljak

Sequential Monte Carlo (SMC) samplers are powerful tools for Bayesian inference but suffer from high computational costs due to their reliance on large particle ensembles for accur…