A Markov chain Monte Carlo method for rare-event probability estimation

Abstract:

Importance sampling and Markov chain Monte Carlo are typically considered two distinct simulation methods, where importance sampling is predominantly used for rare-event estimation problems, and Markov chain Monte Carlo is typically used for Bayesian computations. In this talk we describe a generic approach to rare-event probability estimation that combines both methods within a single framework.