Abstract
We investigate a regression model with an unknown drift parameter, where the noise is a centered Gaussian process. We construct the maximum likelihood estimators of the drift parameter based on discrete and continuous observations of the process and prove their strong consistency. As examples, models with fractional Brownian motion, mixed fractional Brownian motion, sub-fractional Brownian motion and two independent fractional Brownian motions are considered.