Non-parametric estimation for a pure-jump Levy process

In this paper, we propose an estimator of the survival probability for a Levy risk model observed at low frequency. The estimator is constructed via a regularised version of the inverse of the Laplace transform. The convergence rate of the estimator in a sense of the integrated squared error is studied for large sample size. Simulation studies are also given to show the finite sample performance of our estimator.