Abstract

This paper deals with the rate of convergence for the central limit theorem of estimators of the drift coefficient, denoted θ, for the Ornstein-Uhlenbeck process X := {X_{t},tgeq 0} observed at high frequency. We provide an approximate minimum contrast estimator and an approximate maximum likelihood estimator of θ, namely widetilde{theta}_{n}:= {1}/{ (frac{2}{n} sum_{i=1}^{n}X_{t_{i}}^{2} )}, and widehat{theta}_{n}:= -{sum_{i=1}^{n} X_{t_{i-1}} (X_{t_{i}}-X_{t_{i-1}} )}/{ (Delta _{n} sum_{i=1}^{n} X_{t_{i-1}}^{2} )}, respectively, where t_{i} = i Delta _{n}, i=0,1,ldots , n , Delta _{n}rightarrow 0. We provide Wasserstein bounds in the central limit theorem for widetilde{theta}_{n} and widehat{theta}_{n}.

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