  In this article, we present the least squares estimator for the drift
parameter in a linear regression model driven by the increment of a fractional
Brownian motion sampled at random times. For two different random times,
Jittered and renewal process sampling, consistency of the estimator is proven.
A simulation study is provided to illustrate the performance of the estimator
under different values of the Hurst parameter H.
