A large deviation result for maximum likelihood estimator of non-homogeneous Ornstein–Uhlenbeck processes

Abstract

We establish the large deviation principle for maximum likelihood estimator of some diffusion process. We overcome the difficulty of non-steepness and obtain large deviations in the case of non-Gaussian limit distribution by local large deviation principle and exponential tightness.