Summary
We consider consistency and asymptotic normality of maximum likelihood estimators (MLE) for parameters of a Lévy process of the discontinuous type. The MLE are based on a single realization of the process on a given interval [0,t]. Depending on properties of the Lévy measure we either consider the MLE corresponding to jumps of size greater than ε and, keepingt fixed, we let ε tend to 0, or we consider the MLE corresponding to the complete information of the realization of the process on [0,t] and lett tend to ∞. The results of this paper improve in both generality and rigor previous asymptotic estimation results for such processes.
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Akritas, M.G. Asymptotic theory for estimating the parameters of a Lévy process. Ann Inst Stat Math 34, 259–280 (1982). https://doi.org/10.1007/BF02481026
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DOI: https://doi.org/10.1007/BF02481026