Statistical inference for moving‐average Lévy‐driven processes: Fourier‐based approach

We consider a new method of semiparametric statistical estimation for the continuous‐time moving‐average Lévy processes. We derive the convergence rates of the proposed estimators and show that these rates are optimal in minimax sense.