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Drift Estimation for a Lévy-Driven Ornstein-Uhlenbeck Process with Heavy Tails (1911.11202v1)

Published 25 Nov 2019 in math.ST, math.PR, and stat.TH

Abstract: We consider the problem of estimation of the drift parameter of an ergodic Ornstein--Uhlenbeck type process driven by a L\'evy process with heavy tails. The process is observed continuously on a long time interval $[0,T]$, $T\to\infty$. We prove that the statistical model is locally asymptotic mixed normal and the maximum likelihood estimator is asymptotically efficient.

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