  In this article, we study the problem of parameter estimation for a discrete
Ornstein - Uhlenbeck model driven by Poisson fractional noise. Based on random
walk approximation for the noise, we study least squares and maximum likelihood
estimators. Thus, asymptotic behaviours of the estimator is carried out, and a
simulation study is shown to illustrate our results.
