Statistical skorohod embedding problem and its generalizations

Abstract

Given a Levy process L, we consider the so-called statistical Skorohod embedding problem of recovering the distribution of an independent random time T based on i.i.d. sample from LT : Our approach is based on the genuine use of the Mellin and Laplace transforms. We propose a consistent estimator for the density of T; derive its convergence rates and prove their optimality. It turns out that the convergence rates heavily depend on the decay of the Mellin transform of T: We also consider the application of our results to the problem of statistical inference for variance-mean mixture models and for time-changed Levy processes.