Semiparametric and nonparametric inference from irregular observations on continuous time stochastic processes

A continuous time stochastic process contains unknown, nonparametric and/or semiparametric characteristics which are estimated by means of discrete and ordered data obtained at random times. Two specific models are considered in detail. Estimates are suggested and their asymptotic behaviour studied.