Adaptive reduced tempering For Bayesian inverse problems and rare event simulation

Frederic Cerou, Patrick Heas, Mathias Rousset

This work proposes an adaptive sequential Monte Carlo sampling algorithm to solve Bayesian inverse problems in scenarios where likelihood evaluations are costly but can be approxim…