Statistical inference for moving-average Lévy-driven processes: Fourier-based approach
arXiv:1702.02794
Abstract
We consider a new method of the 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 the minimax sense.
23 pages, 4 figures, 3 tables