Abstract:

The ability to accurately estimate rare event probabilities is of paramount importance in many fields. Two widely used methods for achieving this goal are Monte Carlo based methods and particle methods. In this talk I will introduce some of the basic concepts of rare event simulation, as well as some problems in finance where this is an important issue. I will then discuss work that I have done on estimating rare event probabilities in Jackson networks via Monte Carlo with importance sampling and particle splitting algorithms.